Bibliographic record
Abstract
Lieu par excellence de consommation du café en Australie, le coffee shop est une importation culturelle récente en France et, à ce titre, un terrain d’observation idéal des effets contemporains de la mondialisation. En nous appuyant sur des données empiriques recueillies par observation participante entre 2015 et 2020, nous livrons une analyse des coffee shops comme supports de modes de vie mobiles qui mettent en évidence trois processus centraux : la redéfinition des normes de consommation du café en France à l’aune d’un standard anglo-saxon ; l’affirmation générationnelle d’une identité par l’expérience de consommation différenciée ; la réinvention de l’élitisme français. Lieux d’affirmation d’une identité qui passe par des pratiques liées à la mobilité (cyclisme, communication en ligne, bilinguisme, etc.), les coffee shops participent d’une économie de l’expérience qui reproduit en France des codes de consommation mondialisés. Ce sont des espaces de glocalisation, de production d’identités hybrides, aménagés par des intermédiaires à l’origine d’arrangements subtils, voire acrobatiques entre tradition (et même nationalisme) et mondialisation.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.068 | 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".