Pour une sociologie de l’écart. Affiliation et différenciation dans les processus de socialisation et d’urbanisation
Bibliographic record
Abstract
Le texte aborde la question de la tension entre homogénéisation et différenciation à partir des usages informels et illégaux de la ville. Au-delà des condamnations dont ils font l’objet, ces usages remplissent des rôles essentiels de régulation, au Nord comme au Sud, en termes économiques, urbains, sociaux, politiques. Ils constituent des formes de soupape des processus d’urbanisation mais aussi, plus globalement, de socialisation. Ils permettent dans ce registre des épisodes de retrait ou de transgression vis-à-vis du contexte normatif, sans pour autant remettre en cause l’ordre social. Cette logique de l’écart renvoie à la tension affiliation normative-différenciation qui innerve la socialisation. Le texte explore la dynamique de cette tension, comme une modalité du couple homogénéisation-différenciation, ainsi que ses implications en termes sociologiques et d’action urbanistique.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".