Bibliographic record
Abstract
Si la figure de la mère est abjecte – à en croire sa propension à emprisonner sa progéniture dans une dyade mortifère –, elle a parfois aussi des conséquences sur un autre angle du triangle familial : le père. Démis de ses fonctions, violeur ou surpuissant, ce dernier pèche soit par le « trop-peu » (absence, indifférence), soit par le « trop-plein » (abus d’autorité, inceste), pour reprendre les termes de Lori Saint-Martin. Afin de définir les impacts de sa défaillance, nous tiendrons compte de quatre paires textes/films portant sur la figure du père, souvent éludée avant que ne s’ouvrent ces récits de filiation. À travers Littoral (Mouawad 1999 ; 2004) ; Le sexe des étoiles (Proulx 1987 ; Baillargeon 1993) ; La petite fille qui aimait trop les allumettes (Soucy 1998 ; Lavoie 2017) et C’est le coeur qui meurt en dernier (Lalonde 2013 ; Durand-Brault 2017), nous étudions différentes strates de la narration filmique, en deçà ou au-delà de ce qui est offert par les hypotextes, cernant les contours du père défaillant ainsi que ses conséquences sur l’identité des narrateurs et narratrices.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".