Le numérisme : un objet religieux ? Problématisation et notes théoriques
Bibliographic record
Abstract
For the most part, studies on the relationship between religion and digital can be grouped under the theme Digital Religion. Without being totally foreign to it, the phenomenon we are interested in here seems to be of a different order. Rather than ‘digitized religion’, we are confronted with what we might understand as a quest for digital meaning. Some authors who have described this technological religiosity argue that it serves to legitimize the belief in a new society. The study of what we have called ‘digitization’ would therefore be based on the sacralization of a set of techno-values, of which the internet would be both the tool of broadcast and the main symbolic object. If we recognize that religion has something to do with society’s idea of itself, we can ask ourselves whether the digital revolution, by generating a new type of society, does not contain a religious dimension.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.004 | 0.047 |
| Scholarly communication | 0.010 | 0.016 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".