Bibliographic record
Abstract
L’anthropologie est définie comme l’étude de l’être humain ( anthrôpos ) ; mais où peut-on localiser le sujet de cette discipline ? Dans cet article, je propose d’explorer un type particulier d’entités que j’appelle les objets-frontières humains. Ces entités peuvent simultanément appartenir ou non au corps humain, relever de la personne et de la chose, du soi et du non-soi. La biomédecine actuelle repose en grande partie sur l’utilisation de tels objets, tant pour la recherche que pour le traitement. Cet article vise à montrer qu’ils constituent de nouveaux sites productifs pour l’analyse de thèmes classiques comme l’identité, la catégorisation et la liminalité. À partir d’exemples concrets, il s’agit de comprendre comment de tels espaces facilitent l’étude des négociations actuelles de l’identité dans la fabrique d’une nouvelle vie (traitement contre l’infertilité), la reconstruction du corps (technologie liée à la transplantation) et même la mort (incinération).
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".