Bibliographic record
Abstract
Le terme qom est la manière dont se nomme le peuple autochtone aussi connu sous le nom de toba. Ce peuple habitait, avant le dépouillement généré par la conquête, la colonisation et l’expansion de l’État-nation du Cône Sud, la région géographique connue comme le Gran Chaco. Les migrations, une des nombreuses réponses/résistances de ce peuple devant l’avance du Blanc, ont impliqué des reformulations existentielles profondes, des processus de transformation ethnique complexes, une redéfinition et/ou réaffirmation identitaire qui, dans beaucoup de cas, s’expriment dans des espaces urbains recréés en termes ethniques. Une étude ethnographique au sujet des « quartiers tobas » qui se sont formés en périphérie des grandes villes permet d’analyser lesdits espaces en termes de réseaux sociaux d’expression territoriale, de comprendre ce qui est local et de rendre compte de la complexité qu’impliquent les nouvelles territorialités et les manières d’organisation dérivées de l’accès au sol urbain par la population autochtone migrante.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.002 |
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".