Retour vers le futur de l’échange marchand
Bibliographic record
Abstract
Cet article vise à présenter les contributions majeures de l’ouvrage collectif intitulé Les reconfigurationsde l’échange marchand : Tour d’horizon, enjeux et perspectives, publié aux Presses universitaires du Québec etdirigé par les professeurs Myriam Ertz, Julien Bousquet et Damien Hallegatte. D’après l’ensemble des collaborateurs de cet ouvrage, l’échange marchand est en mutation profonde. Cette métamorphose a résulté en quatre grandes évolutions : une conceptualisation revue de l’échange marchand, l’émergence de devisesd’échanges alternatives, la réactualisation du produit aux coeur d’échange reconfigurés, et la quête de sens dans la consommation. Si les causes de ces évolutions sont assez difficiles à isoler de manière précise, il n’endemeure pas moins que cette modification en profondeur de la manière dont fonctionne le marché résulte dela convergence de trois tendances lourdes : les évolutions technologiques, les évolutions socioculturelles, et lescontraintes économico-financières. Cet article résume ainsi les domaines de changement ainsi que les causesde changement tel qu’identifié par les auteurs de l’ouvrage collectif.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".