Bibliographic record
Abstract
Dans cet essai, Goody poursuit ses réflexions sur la compétence écrite ( literacy ) dans le cadre d’une étude des relations entre la transmission de normes de conduite à l’intérieur des sociétés purement orales et leur communication par l’entremise de guides écrits. Il cherche ainsi à identifier les transformations sociales qu’entraîne la formalisation de contraintes de conduite par un code écrit afin de discuter des implications d’une différence dans le mode d’apprentissage et la médiation d’un discours de type juridique. En menant son investigation dans une perspective résolument comparatiste, Goody s’appuie sur ses recherches antérieures, qui englobe le langage des fleurs jusqu’aux us et coutumes de la société des LoDaaga, ainsi que sur différents phénomènes culturels, depuis les dix commandements jusqu’à l’expansion de l’État chinois.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.017 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".