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Record W3035536424 · doi:10.1111/ajsp.12409

The sociocultural movement in psychology, the role of theories in sociocultural inquiries, and the theory of sociocultural models

2020· article· en· W3035536424 on OpenAlexaff
Valery Chirkov

Bibliographic record

VenueAsian Journal Of Social Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSociocultural evolutionCultural psychologyPsychologySocial psychologyEpistemologyCross-cultural psychologyCulture theoryAsian psychologySociologySocial scienceCritical psychologyPsychoanalysisAnthropology

Abstract

fetched live from OpenAlex

This special issue presents the theory of sociocultural models (TSCM) and its applications in diverse areas of psychology, including education, health care, clinical practice, gender relations, and general research. As many theories already exist in the social sciences, some readers may ask: “Why do cross‐cultural, cultural, and indigenous psychologists need another theory?” This question is comprised of two aspects: culture/cultural and theory/theoretical. Therefore, to answer it, it is important to clarify both issues. The first relates to cultural and its relation to psychological. The second, theory, considers its relation to cultural and psychological. These issues have long‐range implications for all culture and psychology disciplines as they pose many questions: What role does culture play in the mental functioning of people? How is culture constituted? Is cultural related to social? Does people’s mental functioning exert reciprocal influences on their cultural and social functioning? While working toward answering these questions, researchers quickly determine that more questions arise: What role should theories play in answering these questions? What constitutes theory in culture and psychology disciplines? How should such a theory (or such theories) address the triad of cultural, social, and mental? Consequently, in an effort to provide an overview of the TSCM and to begin to answer these questions, this introduction consists of two parts. The first part addresses the sociocultural turn in modern psychology; this part discusses its implications for research in culture and psychology disciplines. The second segment examines the topic of the theoretical backgrounds of cultural and cross‐cultural research and connects the philosophical paradigms of interpretivism and realism with the theory of sociocultural models. This introduction concludes with a brief overview of the articles included in this issue.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0050.033
Scholarly communication0.0090.013
Open science0.0020.005
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.373
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2020
Admission routes1
Has abstractyes

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