Bibliographic record
Abstract
The first part of this Master's thesis is a story presented as an inner monologue where three periods of the narrator's life (the winter when she was nine years old, a recent trip to Ireland and her return to Montreal) interlace as three parallel miscarried lives. At times through entire episodes, at times through the echo of sentences once spoken or heard, Pamela's past lives contaminate the story of her forced return to Montreal to attend her father's funeral. They intermingle in a duplicate narrative, a fabled dialogue between times. In the second part, we intend to analyse the theme of the double in two of Romain Gary's novels: Au-dela de cette limite votre ticket n'est plus valable and Gros-Calin. The study demonstrates that the subject uses doubling to engender his self so that he can avoid the determinism that condemns him to a non-existence. Gary's hero refuses any god other than the one within himself: an infinite and immortal double from whom he has become seperated against his will at birth. He reinstates his unlimited potential as a creator by returning to a time before this world, a time not determined by external forces. He then undertakes to give life to his divine double by projecting him on others. The hero hopes that he will thus be endlessly reborn. The embodied ideal double, however, soon turns into the original which the hero imitates, becoming a double himself.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 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".