A new milestone for the study of variation in Montréal French: The Hochelaga-Maisonneuve sociolinguistic survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article introduces the 2012 Montréal FRAN-HOMA corpus, collected in the Francophone neighborhood of Hochelaga-Maisonneuve, and how it relates to the heritage corpora of Montréal French collected since the 1970s. We discuss the methodological choices made regarding the composition of this corpus including the historical and demo-linguistic information that led to the selection of the Hochelaga-Maisonneuve neighborhood for fieldwork. A presentation of the socially stratified sample and criteria for participant selection is followed by a discussion on data collection and the sociolinguistic interview. After a brief review of the transcription protocol and the advantages of audio-aligned transcription, we provide two illustrations of the revival of research on linguistic variation made possible by this new corpus.
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.
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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it