Bibliographic record
Abstract
Est fréquemment souligné, en ce qui concerne les mémoires d’atrocités, à quel point celles-ci sont en partie sinon pas totalement indicibles. Or, bien que de nombreux survivants témoignent de l’absence de mots pouvant traduire l’ampleur de l’horreur vécue, l’indicible est dit. Ces récits comportent certes des silences. Néanmoins, si on leur prête l’oreille, aurais-je appris en analysant ceux de survivants du conflit armé guatémaltèque, on peut parfois en apprendre davantage que des récits eux-mêmes. A partir de l’examen du silence de Mateo, seul témoin oculaire du massacre de la finca San Francisco, Nentón, Huehuetenango, je cherche à démontrer l’importance de s’intéresser aux non-dits si l’on veut véritablement se saisir de ce que « survivre » signifie dans le Guatemala d’aujourd’hui.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.058 | 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; both teacher heads agree on what is shown here.
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".