<scp>Albert Valdman, Julie Auger,</scp> and <scp>Deborah Piston-Hatlen</scp> (eds.), <i>Le Français en Amérique du Nord: État présent</i>
Bibliographic record
Abstract
Albert Valdman, Julie Auger, and Deborah Piston-Hatlen (eds.), Le Français en Amérique du Nord: État présent. Quebec: Presses de l'Université Laval, 2005. Pp. 583. Hb. $45.00. The loss of Quebec to Great Britain in 1763, the sale of Louisiana to the United States four decades later, and low levels of emigration from France to North America in the 19th century all serve to mask the major role played by French speakers in the European settlement of the continent in the 17th and 18th centuries, the linguistic consequences of which are still with us. In this fine collection of studies, the picture that emerges of French in North America today is one of contrasts: successful efforts to reverse language shift in Quebec, varying degrees of failure elsewhere.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.052 | 0.023 |
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".