Bibliographic record
Abstract
Délibérément inscrit dans une perspective micrologique, les analyses présentées dans cet article interrogent l'actualisation de la mémoire individuelle sur son versant situationnel, à partir d’une enquête de terrain réalisée auprès de la population pied-noire dans le milieu des Pieds-Noirs. L'objectif de ce texte consiste à mettre au jour une partie du travail permanent d’appropriation et de reformulation de la mémoire ; un processus qui prend forme dans le détail des interactions ordinaires de la vie quotidienne. L'examen des données recueillies dans différents contextes micro-sociaux privés montre comment des éléments, sinon vrais, du moins plausibles, se maintiennent, sont réévalués ou introduits dans la mémoire individuelle. L’actualisation des cadres et contenus mnésiques, à la fois reconduits et amendés au gré d'échanges banals, obéit donc aux dynamiques propres aux interactions ordinaires, qui à ce titre, apparaissent comme des sources relativement autonomes de la « petite production mnésique ».
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 | 0.006 | 0.020 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 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".