Perspectives méthodologiques et épistémologiquesentourant l’influence du phénomène étudiésur la formation de la sensibilité du chercheurdans les approches inductivesà la lumière des notions ricoeuriennes d’expérience vive,d’attestation de l’Autre et de fidélité à soi
Bibliographic record
Abstract
Cet article se livre à une extrapolation d’une étude doctorale antérieure portant sur des phénomènes de conscience accompagnant le processus d’intériorisation-incorporation, étude faite dans une perspective phénoménologique et herméneutique. Il traite de conditions épistémologiques utiles pour prendre en compte ce processus au sein des approches inductives et des conséquences possibles pour la compréhension de l’opérationnalisation des modalités non-cognitives de la subjectivité en situation de recherche, dans un parcours analogue à l’analyse par théorisation ancrée et à travers une interrogation sur les implications méthodologiques des notions ricoeuriennes d’expérience vive, d’attestation de l’Autre et de fidélité à soi.
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 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 | 0.073 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.005 | 0.047 |
| Scholarly communication | 0.016 | 0.016 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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; 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".