Frontières du travail et chantiers de construction : entretien croisé avec Virginie Mathé et Mylène Pardoen
Bibliographic record
Abstract
Cet entretien croise les voix de deux chercheuses spécialistes des chantiers de construction : Mylène Pardoen (CNRS) est archéologue du paysage sonore et a mené, entre autres, un projet de restitution du paysage sonore du chantier de construction de Notre-Dame de Paris en 1170 ; Virginie Mathé (Université Paris-Est Créteil – Centre de recherche en histoire européenne comparée) travaille sur les chantiers de construction dans la Grèce antique, notamment à partir des sources épigraphiques et comptables. Nous explorons avec elles la manière dont elles font parler leurs sources pour révéler l’existence – ou l’absence – de frontières sur les chantiers de construction antiques et médiévaux : frontières sociales (absence ou présence de certaines catégories de population, comme les femmes et les enfants, les travailleurs libres ou contraints…), frontières spatiales (spécialisation des zones par activité, articulation des différents corps de métier retranscrits dans l’espace) et temporalités des chantiers sont autant de thématiques abordées.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".