Bibliographic record
Abstract
Es una creença força generalitzada en els estudis sobre sectarisme que existeixen uns trets biogràfics específics que impulsen determinats individus a fer-se membres d'una secta. L'autora revisa aquesta hipòtesi i aprofundeix en el tema basant-se en l'anàlisi de dotze biografies concretes. Alguns del itineraris religiosos dels informants són “ortodoxos”, mentre que els altres cauen de ple en els estereotips percebuts com a “sectaris”.Es una creencia bastante generalizada en los estudios sobre sectarismo, que existen unos rasgos biográficos específicos que impulsan a determinados individuos a hacerse miembros de alguna secta. La autora revisa esta hipótesis y profundiza en el tema basándose en el análisis de doce biografías concretas. Algunos de los itinerarios religiosos de los informantes son “ortodoxos”, mientras que otros se insertan en los estereotipos percibidos como sectarios.It is a highly generalized belief in studies on sectarianism, that particular biographical traits exist which stimulate certain individuals to become members of a sect. The author revises this hypothesis and makes a more in depth study of the theme, based on the analysis of twelve specific biographies. Some of the religious itineraries of the informants are "orthodox" whilst others fall directly within the stereotypes perceived as "sectarian".Dans les études sur le sectarisme, on exprime très souvent l'idée suivant laquelle il existeraient des traits biographiques spécifiques qui conduiraient certains individus à devenir membres d'une secte. L'auteur passe en revue cette hypothèse et examine le problème à partir de l'analyse de douze récits biographiques. On peut qualifier un certain nombre de ces itinéraires religieux d'«orthodoxes», tandis que les autres relèvent plutôt des stéréotypes classiques qui contribuent à la construction de l'image du «sectaire».
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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".