Le dictionnaire d 'obj ets de manipul ation en mathemati cs, un outil utile pour les enseignants
Bibliographic record
Abstract
In 2008, a French online math manipulatives dictionary was created describing 84 manipulatives. The goal of this research study was to determine if the dictionary plays an important role in the teaching of mathematics with manipulatives amongst Francophone K to 6 teachers in Alberta. An online survey was used to analyze the demographics of the participants as well as the usage and non-usage of the dictionary. The results indicate that only 37% of the participants know about and consult the dictionay. Comments about the usefulness of the dictionary and suggestions for possible improvements were noted. However, 63 % of the respondents do not use the dictionary because they are not aware of it. The dictionary does not seem to play a major role in the teaching of mathematics with manipulatives amongst Francophone K to 6 teachers in Alberta. The study makes recommendations to improve its usage as a professional development resource.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".