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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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; both teacher heads agree on what is shown here.
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".