Bibliographic record
Abstract
Chantal Collard: Preference and the limit of preference: the marriage of the two brothers to the two sisters In Charlevoix county, Quebec: 1900–1960/Préférence et llmlte de la préference: le mariage des deux fréres aux deux saeurs dans le comté de Charlevoix au Québec: 1900–1960/Preferencla y llmlte de la preferencla: la boda entre dos hermanos y dos hermanos en el condado de Charlevoix en Quebec, 1900–1960 Miguel Vale de Almelda: Gender, Mascullnlty and Power In southern Portugal/Constructlon du genre, masculinlté et pouvolr dans le sud Portugal/Genero, mascullnldad y poder en el sur de Portugal Sarah Pink Topsy‐Tuwy bullflghts and ferla queens: on the rneanlng of gender, tradltlon and rltual In Cordoba, Andalusla/La corrlda sens dessus‐dessous et les relnes de la ferla. A propos du genre, de la tradition et du rltuel Cordoba, Andalousle/Corrldas confusas y relnas de ferla: sobre el slgnlflcado del ghero, la tradlclon y el ritual en Cordoba, Andalucia Caterlna Pasquallno: Birth of a people: the srnlth‐singers of Andalusla/Nalssance d'un peuple: les forgerons‐chanteurs d'Andalousle/Naclrnlento de un pueblo: los herreros‐cantores de Andalucla Gheorghlta Geana: Ethnlclty and globallsation. Outline for a complementary conceptualisation/Ethnicité et giobailsatlon. Esqulsse de conceptualisation complémentalre/Etnlcidad y globalizacion. Esbozo para una conceptuallzaclon complementarla
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.802 | 0.606 |
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".