Bibliographic record
Abstract
Tout au long de l’année 2015, La Phrase s’est faufilée de façade en façade, sur 10 km, au cœur de la ville de Mons, ville belge alors devenue Capitale européenne de la Culture. Ce projet1 consistait à écrire à la main sur les murs de la ville un long texte composé des œuvres des écrivains qui avaient vécu là, ainsi que celles de leurs contemporains – le poète français Paul Verlaine (enfermé à la prison de Mons) le flamand Émile Verhaeren, le surréaliste Fernand Dumont, Rainer Maria Rilke, André Breton, Paul Éluard... – et nourri des échanges avec les habitants. Cette performance littéraire et graphique a impacté le visage de Mons durant une année. Unique, d’envergure, La Phrase fut retirée en janvier 2016, ne laissant derrière elle que quelques passages. Elle interroge notre rapport à l’archive, à la littérature, à l’architecture, et à l’espace public.
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 | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".