Origins and development of indigenous psychologies: An international analysis
Bibliographic record
Abstract
This article examines the origin, development, and characteristics of the indigenous psychologies (IPs) initiated in various regions of the world. These IPs arose as a reaction to the mainstream version of psychology and seek to reflect the social, political, and cultural character of peoples around the world. Fifteen contributions from researchers from different parts of the world are presented, replying to four questions that were posed to them. A number of common themes were identified in the contributions. Post‐colonial reactions to mainstream psychology, and the belief that it was not an efficient aid to solving local social problems, were seen as important reasons for developing IPs. IPs were generally seen as attempts to produce a local psychology within a specific cultural context. Different views about what methods are legitimate in IPs were present (from experiments to various more “humanistic” methods). IPs were commonly seen as being able to open up, invigorate, and improve mainstream psychology. The style of theorizing in the IPs was felt by many to be to build theories from the “bottom up” on the basis of local phenomena, findings, and experiences. Some contributors saw the IP as a kind of cultural psychology, and a few noted that IP and cross‐cultural psychology have an interactive mutually enriching relationship. Nearly half of the contributors emphasized the critical reaction to their work on IP by colleagues working more in the line of mainstream psychology. Many contributors felt that IP could contribute to the development of a more general universal psychology. Different indications of heterogeneity in the IPs were found among the contributors, for example, with respect to the role given to religion in the local IP. Sometimes the presence of different IPs within the same country was reported. This also indicates heterogeneity in the IPs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".