Étude comparative des compétences grammaticales d’élèves du secondaire en FL1 et en FL2 au Manitoba
Bibliographic record
Abstract
Abstract: In 2001, Rivard published a study on the composition of summaries written by high school students and based on a scientific text which had appeared in a non-technical science magazine. The author reported that there were a number of important differences in the use of language between FL1 and FL2 students. The present article focuses on the results of the second phase of the research; it examines six categories of words or grammar groupings. The summaries produced by students were evaluated using a specific marking scheme composed of 38 types of errors, which were then further subdivided into six categories: the noun, the verb, the pronoun, spelling, syntax, and expression. A statistical, quantitative analysis of the number of errors for each category variable was produced. The researchers identified the variables where significant differences existed between the two groups of students, as well as the categories where major improvements had occurred during secondary school. A further detailed analysis allowed the researchers to describe the strengths and weaknesses of both groups of students.
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".