Réalisation d’une démarche d’analyse technologique par des élèves de science et technologie au secondaire : trois cas de figure
Bibliographic record
Abstract
L’analyse technologique consiste à examiner un objet pour en comprendre le fonctionnement. Dans cet article, nous étudions comment des élèves du secondaire procèdent lorsqu’ils effectuent une démarche d’analyse technologique en classe de science et technologie. Les observations et entretiens réalisés auprès de douze élèves montrent qu’ils procèdent d’au moins trois manières différentes, que nous avons appelées « dissection séquentielle » (démonter l’objet en entier, puis tenter d’en comprendre le fonctionnement), « dissection par systèmes » (démonter l’objet partiellement pour comprendre l’articulation de ses systèmes) et « dissection en spirale » (démonter une pièce à la fois en tentant de comprendre sa fonction). Mots-clés : analyse technologique, dissection mécanique, science et technologie
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".