Author: j5rson

Phonological development refers to the process by which children acquire and develop the ability to produce and perceive the sounds of their native language. It involves the acquisition of the phonemes (individual speech sounds) and the rules that govern their organization within a language.

Here are key aspects and stages of phonological development:

1. Prelinguistic Stage: Before infants start producing words, they engage in prelinguistic vocalizations. Initially, they produce reflexive sounds, such as crying and cooing. Later, they engage in vocal play, experimenting with different sounds and babbling, which involves repeating consonant-vowel combinations (e.g., “ba-ba-ba” or “ma-ma-ma”).
2. Babbling Stage: Babbling typically emerges around 6 to 10 months of age. During this stage, infants produce repetitive syllables, exploring a wide range of sounds. They may engage in canonical babbling, producing syllables with consonant-vowel (CV) or vowel-consonant-vowel (VCV) structures. Babbling is an important precursor to speech production and provides practice for the coordination of articulatory movements.
3. Phonemic Expansion: As children continue to develop, they begin to produce a greater variety of phonemes, expanding their repertoire of speech sounds. They go beyond the sounds of their native language to explore different phonetic possibilities. This period of phonemic expansion occurs around 12 to 18 months of age.
4. Phonemic Contrast: During the early stages of language development, children start to perceive and produce phonemic contrasts, distinguishing between different speech sounds in their native language. For example, they learn to differentiate between sounds like /p/ and /b/, or /m/ and /n/. They refine their abilities to discriminate and categorize speech sounds based on their linguistic significance.
5. Phonological Rules and Processes: Children gradually acquire the phonological rules and processes specific to their native language. They learn the patterns and regularities in sound combinations, such as consonant clusters, syllable structures, and stress patterns. For instance, they acquire the rules for consonant assimilation (e.g., “big” pronounced as “pig”) or syllable deletion (e.g., “banana” pronounced as “nana”).
6. Speech Intelligibility: As children’s phonological skills mature, their speech becomes more intelligible to others. They refine their articulation, accuracy, and control over speech sounds, making their productions more precise and adult-like. By around 4 to 5 years of age, most children’s speech is highly intelligible, although they may still be developing mastery of more complex sound patterns.

Phonological development is influenced by various factors, including genetics, exposure to language input, and social interactions. The process is influenced by the specific phonological characteristics and structures of a child’s native language.

Understanding the typical progression of phonological development is important for parents, caregivers, and educators. It helps identify potential speech and language delays or disorders and guides interventions to support children’s communication skills and phonological accuracy.

The nature-nurture debate is a longstanding and ongoing discussion in psychology and other fields about the relative influences of genetics (nature) and environmental factors (nurture) on human development and behavior. It seeks to understand how genetics and the environment interact and contribute to various aspects of an individual’s traits, abilities, and characteristics.

Nature refers to the biological and genetic factors that influence an individual’s development. It suggests that our genetic makeup, inherited traits, and biological predispositions shape who we are. These factors can include genes, hormones, brain structure, and other biological factors that influence behavior, cognition, and physical characteristics.

Nurture, on the other hand, refers to the environmental influences that impact an individual’s development. It encompasses external factors such as upbringing, social interactions, cultural influences, education, and life experiences. Nurture emphasizes the role of learning, socialization, and environmental factors in shaping a person’s traits, skills, attitudes, and behavior.

It is important to note that the nature-nurture debate does not suggest that genetics and environment act independently, but rather it examines the relative contributions and interactions between the two. Most researchers today acknowledge that both nature and nurture play crucial roles in human development, and it is their interaction that determines outcomes.

In reality, nature and nurture are intertwined and influence each other in complex ways. For example, genetic factors may create a predisposition for certain traits or abilities, but the expression of those traits can be influenced by environmental factors. Likewise, environmental experiences can activate or modify certain genetic predispositions.

Contemporary research recognizes that traits and behaviors are the result of a complex interplay between genetic and environmental factors. Advances in fields such as behavioral genetics, neuroscience, and epigenetics have provided valuable insights into the complex nature-nurture interaction.

Overall, the nature-nurture debate highlights the importance of understanding the roles of genetics and the environment in human development and behavior. It emphasizes that both factors contribute to shaping who we are, although the extent and specific mechanisms of their influence may vary across different traits and domains.

Language acquisition refers to the process by which humans acquire the ability to understand and use language. It is a complex and remarkable cognitive achievement that occurs naturally in early childhood. Language acquisition involves the development of both receptive language skills (understanding spoken or written language) and expressive language skills (producing and communicating through spoken or written language).

Here are some key aspects of language acquisition:

1. Nature and Nurture: Language acquisition is influenced by both innate biological factors and environmental influences. The human brain has specialized mechanisms that facilitate language learning, known as the language acquisition device (LAD). However, exposure to language and interaction with caregivers and the linguistic environment are critical for language development.
2. Phonological Development: Infants start by acquiring the sounds of their native language. They learn to distinguish and produce speech sounds, eventually developing phonological awareness, which is the ability to recognize and manipulate the sounds of language.
3. Vocabulary Growth: Children rapidly expand their vocabulary during language acquisition. They learn the meanings of words through exposure to their environment and interactions with caregivers. Initially, vocabulary consists of concrete nouns and gradually includes verbs, adjectives, and other word classes.
4. Grammar and Syntax: Children acquire the grammatical rules and structures of their language through exposure and implicit learning. They learn to form sentences, use correct word order, and apply grammatical rules. Over time, they acquire more complex syntactic structures and understand the nuances of language.
5. Pragmatic Development: Language acquisition also involves learning the social and cultural aspects of language use. Children develop pragmatic skills, such as turn-taking, understanding conversational rules, using appropriate language in different contexts, and understanding non-literal language (e.g., sarcasm or irony).
6. Critical Period: Language acquisition is most successful when it occurs during a critical period in early childhood. During this time, children are more receptive to language input and have greater neural plasticity for language learning. If language exposure is delayed or limited, it can lead to language delays or difficulties.
7. Second Language Acquisition: Language acquisition is not limited to a person’s first language. Individuals can acquire additional languages, known as second language acquisition or bilingual acquisition. The process and factors influencing second language acquisition may differ from first language acquisition, depending on factors such as age, language input, and cognitive factors.

Researchers study language acquisition through various methods, including longitudinal studies, experimental tasks, and cross-linguistic comparisons. These studies help understand the stages, patterns, and underlying mechanisms of language development.

Language acquisition has significant implications for education, communication, and cognitive development. Understanding how children acquire language assists educators, caregivers, and speech-language professionals in facilitating language learning and supporting individuals with language delays or disorders.

Psycholinguistics is a field of study that combines principles of psychology and linguistics to investigate how humans acquire, produce, comprehend, and process language. It explores the cognitive processes and mechanisms underlying language use, including the mental representation of words and grammar, language production and comprehension, language development, and the relationship between language and thought.

Key areas within psycholinguistics include:

1. Language Acquisition: Psycholinguists study how children acquire their first language and the stages they go through in language development. They investigate the innate language abilities, the role of environmental factors, and the learning mechanisms involved in language acquisition.
2. Language Production: Psycholinguistics examines the cognitive processes involved in generating and producing language. This includes studying the selection and organization of words, syntactic structure, and the planning and execution of speech or written language production.
3. Language Comprehension: Psycholinguists investigate how individuals understand and interpret spoken and written language. They explore the processes involved in parsing sentences, making inferences, resolving ambiguities, and building mental representations of meaning.
4. Language Processing: Psycholinguistics examines the cognitive mechanisms and processes underlying the real-time processing of language. This includes studying reaction times, eye movements, brain activation patterns, and other measures to understand how individuals comprehend and process language in real-world contexts.
5. Bilingualism and Multilingualism: Psycholinguistics investigates how individuals acquire and use multiple languages. It explores the cognitive and neural processes involved in bilingual language production, comprehension, and the interaction between languages.
6. Language Disorders: Psycholinguistics contributes to the understanding of language impairments and disorders, such as aphasia, dyslexia, and specific language impairment. It explores the underlying cognitive mechanisms and neural correlates of these disorders and informs interventions and therapies.
7. Language and Thought: Psycholinguistics explores the relationship between language and thought, investigating how language influences cognitive processes, conceptualization, and reasoning. It examines the role of language in shaping perception, memory, categorization, and problem-solving.

Psycholinguistics uses a variety of research methods, including behavioral experiments, neuroimaging techniques (such as functional magnetic resonance imaging or EEG), computational modeling, and linguistic analysis. Researchers in this field aim to uncover the mental processes and representations involved in language use, providing insights into the nature of human language and cognition.

Understanding psycholinguistics has practical implications for fields such as education, language teaching, speech therapy, communication disorders, and machine learning applications in natural language processing. It helps shed light on the mechanisms underlying language learning and processing, facilitating the development of effective interventions and technologies in various domains related to language.

We used eye-tracking during natural reading to study how semantic control and representation mechanisms interact for the successful comprehension of sentences, by manipulating sentence context and single-word meaning. Specifically, we examined whether a word’s semantic characteristic (concreteness) affects first fixation and gaze durations (FFDs and GDs) and whether it interacts with the predictability of a word. We used a linear mixed effects model including several possible psycholinguistic covariates. We found a small but reliable main effect of concreteness and replicated predictability effect on FFDs, but we found no interaction between the two. The results parallel previous findings of additive effects of predictability (context) and frequency (lexical level) in fixation times. Our findings suggest that the semantics of a word and the context created by the preceding words additively influence early stages of word processing in natural sentence reading.

Magnabosco, F., & Hauk, O. (2022, September 12). An Eye on Semantics: a study on the influence of concreteness and predictability on early fixations durations. https://doi.org/10.31234/osf.io/wf3ty

In response to intense pressure from policy makers and the public, technology companies have enacted a range of policies aimed at reducing the spread of misinformation online. The enforcement of these policies has, however, led to technology companies being regularly accused of political bias. We argue that even under politically neutral anti-misinformation policies, such political asymmetries in enforcement should be expected, as there is a political asymmetry in the sharing of misinformation. We support this argument with an analysis of Twitter data from 9,000 politically active users during the U.S. 2020 presidential election. While Republicans were indeed substantially more likely to be suspended than Democrats, the Republicans also shared far more links to low quality news sites – even when news quality was determined by politically-balanced groups of laypeople, or groups of only Republicans – and were estimated to have a far higher likelihood of being bots. We also find widespread evidence of ideological asymmetries when analyzing sharing intentions data from 8,597 people across 16 countries. These results demonstrate that social media platforms face a trade-off between effectively reducing the spread of misinformation and maintaining political balance in enforcement.

Mosleh, M., Yang, Q., Zaman, T., Pennycook, G., & Rand, D. G. (2022, April 8). Trade-offs between reducing misinformation and politically-balanced enforcement on social media. https://doi.org/10.31234/osf.io/ay9q5

Institutions explain humans’ exceptional levels of cooperation. Yet institutions are at the mercy of the very problem they are designed to solve. They are themselves cooperative enterprises, so to say that institutions stabilize cooperation just begs the question: what stabilizes institutions? Here, we use a mathematical model to show that reputation can sustain institutions without such a second-order problem. Our premise is that cooperative dilemmas vary in difficulty. Some are easy: they can be solved by reputation alone because cooperation is cheap, behaviors are observable, or interactions occur within small groups of kith and kin. Others are hard: they cannot be solved by reputation alone. Humans need not tackle hard cooperation problems head on. Instead, they can design an institution, which (a) is based on an easy cooperation dilemma, and (b) generates enough new incentives to solve the initial hard cooperation problem. Our model leads us to view institutions as technologies that humans have invented and gradually refined to build the most mutually beneficial social organizations that can be sustained by reputation alone. Just as a pulley system helps lift heavy loads with minimal effort, institutions maximize the potential of limited reputational incentives, helping humans achieve extended levels of cooperation.

Lie-Panis, J., Fitouchi, L., Baumard, N., & André, J. (2023, July 13). A model of endogenous institution formation through limited reputational incentives. https://doi.org/10.31234/osf.io/uftzb

The contraction and relaxation of facial muscles in humans is widely assumed to fulfil communicative and adaptive functions. However, to date most work has focussed either on individual muscle movements (action units) in isolation or on a small set of configurations commonly assumed to express “basic emotions”. As such, it is as yet unclear what information is communicated between individuals during naturalistic social interactions and how contextual cues influence facial activity occurring in these exchanges. The present study investigated whether consistent patterns of facial action units occur during dyadic iterative prisoners’ dilemma games, and what these patterns of facial activity might mean. Using exploratory and confirmatory factor analyses, we identified three distinct and consistent configurations of facial musculature change across three different datasets. These configurations were associated with specific gameplay outcomes, suggesting that they perform psychologically meaningful context-related functions. The first configuration communicated enjoyment and the second communicated affiliation and appeasement, both indicating cooperative intentions after cooperation or defection respectively. The third configuration communicated disapproval and encouraged social partners not to defect again. Future work should validate the occurrence and functionality of these facial configurations across other kinds of social interaction.

Robertson, O. M., Parkinson, B., & Shore, D. M. (2023, July 14). Identifying Meaningful Facial Configurations during Iterative Prisoner’s Dilemma Games. Retrieved from psyarxiv.com/fgk64

Young children have informal knowledge of fractions before learning about fraction symbols in school. In the current study, we followed 103 children in the Mid-Atlantic United States from the fall to the spring of first grade to characterize development of and individual differences in early informal fraction knowledge, as well as its relation to other mathematical and cognitive skills. Most children in our sample showed some early fraction knowledge at the beginning of first grade, especially with nonsymbolic fractions and halving, and this knowledge improved over the school year without explicit instruction in fractions. However, there were large individual differences in early fraction knowledge at the start of first grade, which explained significant variance in math achievement at the end of first grade, even when controlling for whole number knowledge and a variety of cognitive skills. Start-of-year whole number knowledge, but not spatial scaling or proportional reasoning, also predicted early end-of-year fraction knowledge. These data can inform activities for learning in the early years to foster both early fraction and integer knowledge in parallel, which may better prepare students for later formal instruction in fractions.

Viegut, A. A., Resnick, I., Miller-Cotto, D., Newcombe, N., & Jordan, N. (2023, May 26). Tracking Informal Fraction Knowledge and Its Correlates Across First Grade. https://doi.org/10.1037/dev0001581

Liu Long, Shanlao Bi, Jinhua Zhang, Xianfei Zhang, Liyun Zhang, Zhishuai Ge, Tanda Li, Xunzhou Chen, Yaguang Li, Lifei Ye, TianCheng Sun, Jianzhao Zhou

Using data from the Gaia Data Release 3 (Gaia DR3) and Kepler/K2, we present a catalog of 16 open clusters with ages ranging from 4 to 4000 Myr, which provides detailed information on membership, binary systems, and rotation. We assess the memberships in 5D phase space, and estimate the basic parameters of each cluster. Among the 20,160 members, there are 4,381 stars identified as binary candidates and 49 stars as blue straggler stars. The fraction of binaries vary in each cluster, and the range between 9% to 44%. We obtain the rotation periods of 5,467 members, of which 4,304 are determined in this work. To establish a benchmark for the rotation-age-color relation, we construct color-period diagrams. We find that the rotational features of binaries are similar to that of single stars, while features for binaries are more scattered in the rotation period. Moreover, the morphology of the color-period relationship is already established for Upper Scorpius at the age of 19 Myr, and some stars of varying spectral types (i.e. FG-, K-, and M-type) show different spin-down rates after the age of ~110 Myr. By incorporating the effects of stalled spin-down into our analysis, we develop an empirical rotation-age-color relation, which is valid with ages between 700 – 4000 Myr and colors corresponding to a range of 0.5 < (G_BP-G_RP)0 < 2.5 mag.

Astrophysics of Galaxies (astro-ph.GA); Solar and Stellar Astrophysics (astro-ph.SR)

https://arxiv.org/abs/2307.06596