Société de l’information et infobésité : perceptions et représentations croisées
Bibliographic record
Abstract
Cette étude qualitative de contenu vise à interroger les concepts de société de l’information et d’infobésité auprès d’un petit groupe d’étudiants par l’entremise d’un questionnaire en ligne. Des représentations artistiques de ces concepts ont été présentées aux répondants afin d’évaluer leurs perceptions. Les résultats obtenus mettent l’accent sur la valeur de l’information, une forte présence de la communauté et révèlent également un rapport au temps singulier. Les données ont été analysées à la lumière d’un cadre conceptuel comprenant quatre auteurs : Daniel Bell, Manuel Castells, Roland Barthes et Lev Manovich.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.015 | 0.067 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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; both teacher heads 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".