Intersections de l'oral et l'ecrit: Analyse Sociolinguistique de la Correspondance Historique de Guerre du Caporal Joseph Kaeble (1916-1918)
Bibliographic record
Abstract
Ce travail est consacr lanalyse des marques de loral dans la correspondance du Caporal Joseph Kaeble, crites lors de son engagement au sein du 22e Bataillon canadien-franais pendant la Grande Guerre. Aucune historiographie na propos danalyse critique sociolinguistique du tmoignage du soldat canadien-franais. Pour combler cette lacune, nous avons adopt une approche sociolinguistique historique, jumelant les cadres thoriques et mthodologiques de la sociolinguistique et de lhistoire migratoire pour analyser les traces de loral dans les ego-documents de ce jeune caporal mcanuqu. Une analyse de la vie scolaire et militaire, ainsi que de lorthographe de Joseph nous permet de surmonter la complexit de ltude des traces de loral dans les sources historiques. La prsence de variables phonologiques/phontiques et morphosyntaxiques caractristiques des varits du franais laurentien dmontre la valeur des go-documents historiques au domaine de la linguistique. Ces traces de loral nous permettent de redonner la voix au caporal Kaeble, un sicle aprs sa mort.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".