Bibliographic record
Abstract
is Canada's leading repository for recorded and collected items of Newfoundland and Labrador folklore, folklife, language, oral history and popular culture. Founded in 1968, the Archive, under the direction of Herbert Halpert (b. Manhattan, 191 1-d. St. John's, 2000), began building on the course assignments and materials from fieldwork expeditions collected during his previous six years as a university faculty member. The Archive has since amassed 600 fonds, 40,000 audio recordings, 800 video recordings, 16,000 manuscripts, 20,000 photographs, 1,500 printed documents, 500 oversized documents, 4,000 commercial discs, 50 course collections, and numerous cultural artifacts and other media. Described as Herbert Halpert's "crowning achievement," ' MUNFLA stands as testimony to the distinguished folklorist's singular vision and profound influence on students, faculty and archivists through the years. A visit to pre-Confederation Newfoundland while serving in the U.S. military during World War I1 spurred Halpert's interest in the area. In 1987, he explained to Memorial's graduating class what he discovered then and
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.017 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.210 | 0.076 |
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".