Psychology in human and social development : lessons from diverse cultures : a festschrift for Durganand Sinha
Bibliographic record
Abstract
Introduction Contemporary Psychology and the Mutual Understanding of India and Europe - A C Paranjpe Implications of Culture for Psychological Knowledge - Girishwar Misra Is Abnegation a Basic Experiential Trait in Traditional Societies? - Rogelio Diaz-Guerrero The Case of Mexico Psychology of Language Acquisition and Bilingualism in India - A K Mohanty The Cultural Input Disadvantaged Children's Deficiency in Learning to Read - Jerry S Carlson and J P Das What's the Remedy? An Ecological Perspective on Mental Health Problems of Tribal Children - R C Mishra Being and Becoming - T S Saraswathi A Child, Youth, Adult and 'Respectably' Aged in India Multicultural Attitudes and Identities in Canada - John W Berry Women, Work and Family in Urban India - Shalini Bharat Towards New Families? Leadership Research - R N Kanungo and J A Conger Basic Assumptions, Modal Orientations and Future Directions East and West in Harmony - Henry S R Kao and Ng Sek Hong A Glimpse of Managerial Practices among Chinese Corporations in Hong Kong School-Based Social Services as a Strategy for Community Empowerment and Human Development - Wayne H Holtzman Culture as a Factor in Community Interventions - R C Tripathi References Index
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".