Bibliographic record
Abstract
Cet article analyse la circulation continue des métaphores liées au sang et aux liens du sang dans la littérature et la critique diasporiques. En se fondant sur des recherches récentes sur la représentation de l’adoption, il approche la pensée diasporique au travers du prisme des études sur l’adoption, pour mettre au jour et interroger les analyses biocentriques de la personne diasporique, analyses problématiques qui continuent de rabattre les notions de provenance culturelle sur la factualité supposée de l’origine biogénétique. Prenant comme point de départ la critique proposée par Lawrence Hill, écrivain canadien métis, cet article considère la tendance au biocentrisme qui menace les écrits de Zadie Smith ou de Jane Jeong Trenka, avant de se porter sur la quête, elle-même quelque peu problématique, d’une personne génétique au-delà du biocentrisme chez Jackie Kay, ce qui permet de dépasser une fois pour toutes la question du « langage du sang ».
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.052 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".