La littératie informationnelle au primaire : étude de cas de lecteur·rices internautes de 6<sup>e</sup> année
Bibliographic record
Abstract
Le présent article décrit une étude de cas multiples qui s’est penchée sur l’interaction des compétences de navigation, d’évaluation et d’intégration au sein d’un processus menant à la compréhension d’informations consultées en ligne, et ce, lors de la réalisation d’une tâche de littératie informationnelle par des lecteur·rices internautes de 6 e année. L’étude combine l’entretien direct, la verbalisation de la pensée, l’entretien libre de verbalisation de la compréhension et l’entretien rétrospectif semi-dirigé. Elle permet l’induction d’une mobilisation autorégulée des compétences, en plus de permettre, au départ des convergences et des divergences observées entre les cas, la formulation d’une hypothèse de profils de lecteur·rices internautes.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".