From School Knowledge to Everyday Life: Introducing an Alert Bell to Upgrade the Common Sense
Bibliographic record
Abstract
One of the aims of school education is that students develop knowledge they will be able to use in their professional and personal life. However, it seems that school does not completely reach its goal. Too often, learned knowledge is not used when it should be. Actually, many research results illustrate the fact that well learned knowledge is not necessarily used outside its belonging discipline, for instance in a day-today context, even if it could be helpful. We assume that, in those cases, decisions are based on common sense instead of school knowledge, however the later was learned. Developing a didactic of common sense, our research project has two goals: the first one is to better understand the dynamic between school knowledge and common sense knowledge involved in day-to-day situations. The second one is to design a device that will upgrade the common sense in order for it to mobilize relevant learned school knowledge when dealing with problems pertaining to real life situations. This paper will focus on the first steps of the research dealing with the second goal.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".