Bibliographic record
Abstract
Alors que le roman policier (ou d’espionnage), souvent associé à une forme de critique sociale, cherche généralement à maintenir l’illusion référentielle sur laquelle il repose, La Faim de la Terre, de Jean-Jacques Pelletier, offre au contraire une mise en abyme de son fond et de sa forme, par l’entremise d’un personnage d’écrivain — le bien nommé Victor Prose —, qui réfléchit aux possibles manières de narrer les événements de la diégèse. Ce procédé peut être vu comme la manifestation d’une nouvelle forme d’engagement littéraire, propre à une époque où, paradoxalement, le roman se méfie du récit alors même que la société, en général, se comprend de plus en plus selon une logique narrative (ou « storytelling »).AbstractWhile the detective (or espionage) novel, often associated with a form of social criticism, generally seeks to maintain the willing suspension of disbelief on which it rests, La Faim de la Terre, by Jean-Jacques Pelletier, offers instead a mise en abyme of its substance and form, through the character of a writer — aptly named Victor Prose — who reflects on possible ways to narrate the events of the diegesis. This process can be understood as the manifestation of a new form of literary engagement, specific to a time when, paradoxically, the novel is suspicious of narration all the while society, as a whole, can be more and more understood according to a narrative logic (aka “storytelling”).
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| 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".