The Handbook of International Psychology
Bibliographic record
Abstract
Foreword Florence L. Denmark. Preface. Contents. International Psychology: An Overview Michael J. Stevens and Danny Wedding AFRICA- 1. Psychology in Kenya June W. Koinange. 2. Psychology in Nigeria James T. Gire. 3. Psychology in South Africa Graham B. Stead. NORTH AMERICA- 4. Psychology in Canada Pierre Ritchie and Michel Sabourin. 5. Psychology in Mexico Juan Jose Sanchez-Sosa. 6. Psychology in the United States Raymond D. Fowler and Russ Newman. SOUTH AMERICA- 7. Psychology in Argentina Hugo Klappenbach. 8. Psychology in Brazil: The Road Behind and the Road Ahead Claudio S. Hutz, Sherri McCarthy, and William Gomes. 9. Psychology in Colombia Ruben Ardila. EAST ASIA- 10. Advances in Psychology in China Yufang Yang. 11. Psychology in Japan Junko Tanaka-Matsumi and Kanako Otsui. 12. Psychology in Singapore Elizabeth Nair. SOUTH ASIA- 13. Psychology in India Blanche Barnes 14. Psychology in Pakistan Nosheen Khan Rahman. 15. Psychology in Thailand Sombat Tapanya. EAST EUROPE 16. Psychology in Poland: A Country Under Transformation Irena Heszen-Niejodek. 17. Psychology in Russia Tatiana Balachova, Galina Isurina, Sheldon Levy, Larisa Svetkova, and Ludwig Wasserman. 18. Psychology in Turkey Hale Bolak Boratav. WEST EUROPE- 19. Psychology in Germany Ingrid Plath and Lutz H. Eckensbeger. 20. Psychology in Spain Jose M. Prieto and Yolanda Garcia-Rodriguez. 21. Psychology in the United Kingdom Ingrid C. Lunt. THE MIDDLE EAST- 22. Psychology in Egypt Ramadan A. Ahmed. 23. Psychology in Iran Behrooz Birashk. 24. Psychology in Israel Rebecca Jacoby. THE PACIFIC RIM- 25. Psychology in Australia Alison F. Garton. Psychology in Indonesia Sarlito W. Sarwono. Psychology in the Philippines Cristina Jayme Montiel and Lota A. Teh. INTERNATIOINAL PSYCHOLOGY: A SYNTHESIS Michael J. Stevens and Danny Wedding. Appendix 1: Sociodemography of Countries included in the handbook of international psychology Stephanie R. Steinman.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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; both teacher heads agree on what is shown here.
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".