Bibliographic record
Abstract
Contrairement à la France, à la Grande-Bretagne ou aux États-Unis, la modernité massmédiatique ne s’épanouit en Hongrie qu’au début du XXe siècle. On peut considérer la période de 1840 à 1920 comme une première phase, l’âge d’or étant la période qui dure de 1920 à 1945. Cette première phase (1840-1920) se caractérise par son plurilinguisme, dont nous montrons les conséquences. A cause de la situation complexe des ethnies et des confessions, de l’interaction entre assimilation et modernisation, on ne peut pas adopter les conceptions occidentales de la bourgeoisie ou de la culture de masse-médiatique. A cause de cette situation multilinguistique et multiethnique le chercheur doit être plus attentif aux processus de résistance des minorités, tant linguistiques qu’ethniques. Ce sont ces aspects que nous nous attachons à étudier ici.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".