Les tiers lieux : une option pour la reconfiguration des rapports travail-communauté?
Bibliographic record
Abstract
Dans cet article, nous nous penchons sur l’un des termes qui prévalent pour désigner des lieux d’expérimentation,à savoir celui de tiers-lieu. Cette notion désigne de nouveaux lieux intermédiairesentre travailler, vivre au quotidien, et socialiser. Ces trois fonctions, que le capitalisme sous la régulationfordiste a eu tendance à séparer, sont rapprochées par diverses modalités d’action qui ontcours depuis les années 2000. Dans ce cadre, les tiers-lieux représentent des points d’ancrage dela vie communautaire qui favorisent des échanges plus approfondis et plus créatifs au niveau local,permettant ainsi d’entretenir la sociabilité, notamment dans le contexte de l’après COVID-19. Lestiers-lieux offrent l’occasion de repenser les lieux de travail et les mobilités, de revoir les approchesenvers l’aménagement des territoires et de réétudier la relation entre le local et le global.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".