The sociocultural movement in psychology, the role of theories in sociocultural inquiries, and the theory of sociocultural models
Bibliographic record
Abstract
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".