Bibliographic record
Abstract
This is a comparative analysis of the works of two Quebecois poets, Saint-Denys Garneau and Marie Uguay who have many common points. Both express a conscience and a lucid vision of death. Their poetic works show that their lyric subjects are situated in a sort of “in-between”, an excrescence of time, a threshold they are trying to name. Is it what Marie Uguay calls “Outre-vie” or the “faction” of Saint-Denys? The subjects explore a particular space-time, a place that is reminiscent of limbo, life and death at the same time. The subjects are on the border of seemingly insuperable limits on the other side of which life seems to dwell. As prisoners of these in-between spaces, they are alone, hurt, as if on one side of a closed window, opening toward an inaccessible world. Nevertheless, they want to cross all these thresholds, physical or metaphorical, and embrace life: crossing these “ bloodshed limits” as Marie Uguay writes. Indeed, the subjects are wounded, fragmented, but against all odds, they search for a path, to go on in order to fight imprisonment, immobility. Hope comes from writing, specifically poetry that makes everything possible and draws a line and bridges; opens a pathway toward light and life.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".