Factors that influence the decision of parents to enroll their children in a French immersion program in Prince George
Bibliographic record
Abstract
French Immersion in Canada started more than 40 years ago in the small town of St-Lambert, Quebec.It was initiated by a small group of English parents who wanted to allow their children, whose first language was not French, to learn French.Today, French Immersion is offered in all ten Canadian provinces and each of the territories, totaling 300,000 students attending 2,100 schools across the country.By attending French Immersion programs throughout elementary and secondary school, students will have acquired a level of competency in French and English as well as a level of bilingualism high enough to be able to live and work in a French community.This project proposes to investigate reasons why school children in Prince George, British Columbia are registered in a French Immersion program and the influence parents' socioeconomic status variables have on their decision to register them in French Immersion.A survey method will be used to collect data from parents who have registered their children in one of three French Immersion schools located in the Prince George School District.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".