Bibliographic record
Abstract
Qu’est-ce qu’être latino-américain ? De quelle manière éprouvons-nous le monde ? Quel rôle joue l’expérience (sociale) dans la construction identitaire ? À quel point détermine-t-elle le cours de l’Histoire ? Le but de cette étude est de mener à bien une déconstruction qui nous permettra de mieux comprendre l’identité latino-américaine. Pour ce faire, nous empruntons des outils théoriques à des disciplines aussi variées que l’histoire et les sciences politiques mais nous faisons principalement appel à la sociologie de l’imaginaire et à la sociologie de l’expérience car ces deux éléments, l’expérience et l’imaginaire, dialoguent, se complémentent, s’actualisent. Les éléments mobilisés (temporalité non linéaire, matrice fondationnelle, identité duelle, chiasme, enracinement dynamique, blessures héritées, fables compensatoires, libido narcissique, passé non honoré) constituent un arsenal théorique qui nous a permis de dévoiler les rouages intimes de la vie sociale latino-américaine et, par conséquent, de son histoire.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".