Krauss G., Tremblay D.-G. (dir.), 2019, Tiers-lieux. Travailler et entreprendre sur les territoires : espaces de coworking, fablabs, hacklabss… , PUR et Presses de l’Université du Québec, coll. « Espace et Territoires », Rennes, 212 p., 24 €
Bibliographic record
Abstract
À partir de deux enquêtes de terrain croisées, l’article propose une typologie de transition juvénile afin d’analyser les trajectoires socialement différenciées des diplômés chinois en France à l’issue de leurs études supérieures. Il montre le poids des normes dominantes dans la société chinoise qui pèsent sur les jeunes chinois en mobilité, mais également les processus de reconfiguration des normes sociales dans le contexte migratoire. Les diplômés chinois construisent leurs trajectoires professionnelle, familiale et migratoire en naviguant entre des systèmes de référence différents et des exigences normatives parfois contradictoires.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.009 |
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".