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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".