Bibliographic record
Abstract
Ce dialogue inédit entre deux spécialistes étrangers de l’histoire orale et des mondes ouvriers est centré sur les deux grands terrains d’enquête industriels d’Alessandro Portelli : la ville sidérurgique de Terni, dans l’Ombrie italienne, et le comté minier de Harlan, dans les Appalaches. Revenant sur ces deux fresques magistrales – They Say in Harlan County. An Oral History (2011) et Biography of an Industrial Town. Terni, Italy, 1831-2014 (2017) – les deux historiens abordent la part d’influence de la littérature, de la musique populaire mais également de l’ethnologie dans le rapport d’Alessandro Portelli à l’histoire orale ; l’entretien comme jeu sur la différence et la distance culturelle, sociale et politique entre interviewer et interviewé ; les « blessures de classe » et la montée d’une droite radicale à Terni comme dans le comté de Harlan ; ou encore l’impact de la Covid-19 sur les recherches actuelles de l’historien.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".