Bibliographic record
Abstract
Labrador – Photographies de Bob Mesher Le Labrador est l’une des dernières terres mystérieuses et pratiquement inaccessibles du Nord – du moins, comme l’écrit en introduction Danielle Schaub, c’est ainsi que l’ont représenté les explorateurs européens et américains au cours des siècles. Dans ce livre, le premier album de photographies publié par un Inuit du Nunavik, Bob Mesher offre une vision « de l’intérieur » de ce fascinant territoire où il est né, à la suite du périple que sa famille avait entrepris du nord du Québec à Paradise River. Revenu depuis à Kuujjuaq, diplômé universitaire et éditeur de Makivik Magazine , Bob Mesher s’est engagé à documenter par des centaines de milliers de photographies le Nord du Québec et le Labrador. Le lecteur découvrira ici son regard exceptionnel, à travers les choix de la photographe Danielle Schaub et les légendes – souvent étonnantes – de Bob Mesher. Labrador – Photographs by Bob Mesher Labrador is one of the last mysterious and virtually inaccessible territories of the North—or so have the European and American explorers claimed over the centuries, as Danielle Schaub writes in the introduction. In this book, the first album of photographs published by an Inuit from Nunavik, Bob Mesher offers an “insider’s” vision of the fascinating land where he was born, following the journey that his family had begun from Northern Quebec to Paradise River. Having returned to Kuujjuaq, as a university graduate and the publisher of Makivik Magazine , Bob Mesher is committed to documenting Northern Quebec and Labrador through thousands of photographs. The reader will discover his exceptional perspective, through the choices of photographer Danielle Schaub and through the often surprising captions given by Bob Mesher.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.727 | 0.515 |
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".