Per una mediologia delle religioni: riflessioni su una storia del cristianesimo in rapporto al sistema mediale
Bibliographic record
Abstract
Mediology of religions: reflections on a history of Christianity in relation to the media system. The attempt of this article is to think about building a history of Christianity seen through the media system. After a quick survey of the main current research sectors connected to the question of the relationship between religions and the media (especially social media), this paper attempts to identify some theoretical assumptions and a series of methodological supports useful for the realization of the history project medial of Christianity. From the theoretical point of view, the need to intertwine the mediological perspective with the theological and historical one seems certain. From a more specifically methodological viewpoint, within a mediological framework referable to the Toronto school founded by Marshall McLuhan and to that of Régis Debray, a multidisciplinary framework is considered essential in order to reflect the number of solicitations from a series of disciplines, which are illustrated in this article by providing some examples of use.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".