J.D. Webster and B.K. Haight (Eds.). Critical Advances in Reminiscence Work: From Theory to Application. New York: Springer 2002.
Bibliographic record
Abstract
RÉSUMÉ Cet ouvrage collectif résume les progrès réalisés depuis quinze ans dans l'étude et la compréhension de la réminiscence, un domaine qui se situe au carrefour de nombreuses disciplines. Le livre comporte cinq sections et vingt chapitres allant de questions conceptuelles à des problèmes d'application. Dans la première section, Hendrix et Haight font le point sur les connaissances actuelles en matière de réminiscence et sur la documentation connexe. La seconde section aborde les questions conceptuelles, tandis que la troisième section étudie le développement et l'aspect socio-culturel de la réminiscence. La section suivante concern la recherche sur la réminiscence appliquée à certaines populations. Les chapitres formant la dernière section traitent de l'application clinique des travaux sur la réminiscence. Cet ouvrage enrichira le champ de la recherche sur la réminiscence et la grande variété d'essais qu'il contient sera très utile aux chercheurs, universitaires, cliniciens et historiens, qui s'intéressent à la réminiscence, à l'autobiographie guidée, à l'histoire orale et aux techniques narratives.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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".