Bibliographic record
Abstract
Oral history is crucial to two ongoing research projects: the first focuses on the history of childhood and family in the twentieth-century Anglophone Caribbean, and the second concentrates on the construction and nature of the Caribbean interviews archived in the Multicultural History Society of Ontario (MHSO) collections. The following examination of some of the scholarship on oral sources and Caribbean migration raises significant questions for my analysis of two Caribbean interviews in the MHSO West Indies Collection: what can interviews conducted with Caribbean-born people living in the diaspora tell us about memories of life in the region itself, especially those of childhood and family life, and how can scholars use them to explore Caribbean history? Abstract: L’histoire orale est cruciale pour mener à bien deux projets de recherche : le premier porte sur l’histoire de l’enfance et de la famille dans les Caraïbes anglophones du XXe siècle, et le second, sur la construction et la nature des entrevues caribéennes conservées dans les archives de la Société d’histoire multiculturelle de l’Ontario. L’examen d’une partie de la recherche existante sur les sources orales et la migration caribéenne, effectué dans les prochaines pages, soulève des questions pertinentes à mon analyse de deux entrevues de la collection « MHSO West Indies ». Que peut-on découvrir des entretiens menés avec des personnes nées dans les Caraïbes et vivant dans la diaspora, sur leurs souvenirs de la vie dans la région, particulièrement sur ceux reliés à l’enfance et à la vie familiale ? De quelles manières les chercheurs peuvent-ils les utiliser pour explorer l’histoire des Caraïbes ?
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".