Se donner un nom : stratégies et processus de transformation culturelle en situation coloniale (Hautes Terres centrales de Madagascar, 1896-1960)
Bibliographic record
Abstract
Dans cet article, nous nous intéressons aux couples composés de Malgaches et d’Européens ainsi qu’à leur descendance, dans les Hautes Terres centrales. En effet, pour se reclasser dans la société coloniale dans laquelle elles étaient perçues comme facteur potentiel de désordre, ces familles ont su se mouvoir dans l’interstice entre colonisateurs et colonisés et user à la fois des codes de la culture européenne et de la culture merina, jusqu’à parfois faire émerger des pratiques singulières. Nous illustrerons notre propos en étudiant les enjeux et les usages de l’anthroponymie pour ces familles. Signes évidents d’acculturation et de francisation, les noms des métis doivent de plus conserver la trace de l’ascendance européenne pour un certain nombre de métis : les usages du nom français et merina se mêlent alors pour faire apparaître des stratégies originales. Ce sera l’occasion de remettre l’acteur, comme porteur de culture, au centre de ces processus.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".