Bibliographic record
Abstract
Cet article porte sur l’œuvre photographique de John Duncan (1968-), photographe né à Belfast, dont les clichés explorent l’environnement urbain de sa ville natale et de ses alentours, se concentrant notamment sur les représentations post Troubles et Cessez-le-feu. Nous avancerons ici l’hypothèse que les photographies de Duncan saisissent les changements du paysage urbain et permettent d’envisager la manière dont la population peut ou non élaborer sa relation intime avec la ville. Elles mettent au jour la tension existant entre les aspirations à la paix et la persistance de l’identification partisane, et révèlent la manière dont le paysage urbain change, mue par une volonté politique affirmée et malgré les divisions profondes qui subsistent encore. Nous étudierons ici comment les thèmes qui reviennent régulièrement dans l’œuvre de Duncan s’inscrivent dans une réflexion sur les réalités socio-politiques nord-irlandaises.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 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".