Corpus de l’usage de présentateurs de journaux télévisés et radiophoniques au Québec (Radio-Canada)
Bibliographic record
Abstract
Le corpus, mis en place en 2015 dans le cadre de la thèse de doctorat de Marc Chalier (cf. Chalier 2021), comprend des enregistrements de 20 journalistes-présentateurs de radio à ICI Radio-Canada Première (stations de Québec, Montréal et Ottawa) et de télévision à ICI Radio-Canada Télé (antennes de Québec et Montréal) dans respectivement trois situations de communication : une entrevue semi-dirigée, un texte lu et deux listes de mots lues. Il contient ainsi trois des quatre situations de communication prévues par le protocole du programme Phonologie du Français Contemporain PFC (cf. Durand/Laks/Lyche 2002 ; 2009).RéférencesChalier, Marc (2021): Les normes de prononciation du français : une étude perceptive panfrancophone (Beihefte zur Zeitschrift für romanische Philologie). Berlin/Boston: De Gruyter (https://www.degruyter.com/view/title/580839).Durand, Jacques/Laks, Bernard/Lyche, Chantal (2002): La phonologie du français contemporain. Usages, variétés et structure. Dans: Pusch, Claus D./Raible, Wolfgang (éds.), Romanistische Korpuslinguistik – Korpora und gesprochene Sprache/Romance Corpus Linguistics – Corpora and Spoken Language. Tübingen, Narr, 93–106.Durand, Jacques/Laks, Bernard/Lyche, Chantal (2009): Le projet PFC. Une source de données primaires structurées. Dans: Durand, Jacques/Laks, Bernard/Lyche, Chantal (éds.), Phonologie, variation et accents du français. Paris, Lavoisier/Hermès Science, 19–61.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.016 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.005 |
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".