Poème – texte et/ou image: Louise Dupré et Anouk Van Renterghem
Bibliographic record
Abstract
he collection Carnet Ocre by Louise Dupré, a poet, novelist, and playwright from Quebec, and Anouk Van Renterghem, an artist from Brussels, approaches the intimate meditation of the personal experience of the quest for the poetic and creative voice emerging and radiating from the heart of the "Earth-ocher" because, as Louise Dupré states in the dedication: "we are Earthlings and we love the Earth, which gives us life". This collection succeeds in meeting the challenge of playing the score of the emotion of the encounter in the textual and graphic universe. Each poem is accompanied by a dry pastel that communicates directly to the text beside it by answering and supplementing it. What interests us in this versatile universe is the artistic strategies ensuring the correspondences, the analogies, and the union of these two main components - text and image, the whole of which forms the basis of the texto-scriptural imaginary. As for the way in which the "poems-pastels" of Louise Dupré and Anouk Van Renterghem are analysed, the focus on them of this paper will be from a thematic/symbolic point of view (cf. the instance of the imagination) by relying on semantic analytical (cf. mediation theory), musical (cf. prosodic harmony), and artistic (cf. chromatic circle theory, additive and subtractive theory) tools. This extension has helped to understand the evolution of the poetics and mediations that constitute the universe of the imaginary - the dynamic Earth poetics that come from the creation. The Imagination under study translates the process of birth, affirmation, and rebirth of the great voice of the lyrical subject
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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 | 0.000 | 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 | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".