L’interrogation du départ : entamer un aller-retour chez André Gide et chez Henri Michaux
Bibliographic record
Abstract
Cet article examine les récits de voyage d’André Gide et d’Henri Michaux afin de répondre aux questions suivantes : comment entamer un aller-retour ? Comment entamer le récit de voyage qui le représente ? Lors de leurs voyages respectifs en Afrique équatoriale et en Amérique du Sud, Gide et Michaux montrent que la difficulté d’établir le commencement du périple devient un obstacle à la rédaction du récit. Les deux auteurs découvrent que la double difficulté de commencer un voyage et de commencer un récit de voyage soulève maintes questions sur l’exotisme, l’inspiration littéraire, la productivité et la construction du texte. L’interrogation du départ dans leurs ouvrages leur permet donc de remettre en question le concept du voyage ainsi que le rôle du récit de voyage.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| 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".