« Little grunts, the grins and grimaces of recognition »: Resistance and Exchange in Paul Muldoon and Norman MacBeath’s Plan B
Bibliographic record
Abstract
Une grande partie du récent travail de Paul Muldoon a été consacrée à l’expérimentation avec les arts visuels et, en particulier, la photographie. Il a récemment publié un ouvrage intitulé Plan B (2009) en collaboration avec le photographe écossais Norman McBeath. Cet ouvrage présente au lecteur un nouveau genre : la « photoetry » (de l’anglais photography et poetry). En effet, Muldoon explique dans l’avant-propos que les poèmes et les photographies établissent « toutes sortes de connections qui leur sont propres, aucune n’étant évidente […] elles sont néanmoins d’une certaine manière toutes significatives, toutes accompagnées de petits grognements, les sourires et grimaces de la reconnaissance ». Cependant, bien que cet ouvrage mette en regard les poèmes et les photographies, Muldoon a de plus en plus recours au procédé littéraire de l’ekphrasis dans le but d’exploiter le travail des photographes. La poésie de Muldoon est parfois proche du palimpseste, une réserve de mots et d’images cachés qui n’apparaissent qu’en filigrane.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.039 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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".