PUB TYPE Reports Research/Technical (143) Speeches/Conference Papers (150)
Bibliographic record
Abstract
In French immersion prugrams in Canadian public schools, kindergarten is taught all in French, and the proportion of French instruction gradually decreases thereafter until in seventh grade instruction is only 50 percent French. This study examined the psychological adjustment of a group of first-grade children who had been enrolled in an early French immersion program (EFI) since kindergarten. These students were compared with a group of first-grade children from regular English (RE) classes. Also studied was a group of students in grades 1 through 3 who were transferring into the RE program; these students were compared with those remaining in the EFI program. Students were measured by parent and teacher ratings to assess cognitive functioning, language development, school-related stress, behavioral adjustment, and academic competencies. The results showed very little evidence of differences between the EFI and RE students in average levels of stress, academic competencies, or behavioral adjustment. Only one academic variable favored the RE class. The transferring students displayed exceptionally high levels of school-related stress reactions and behavioral dysfunction. (TM) Reproductions supplied by EDRS are the best that can be made IC from the original document.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.891 | 0.772 |
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; the direct Gemma label and the distilled Codex classifier 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".