Hécate Vergopoulos, Tourisme et curiosités. Approche communicationnelle du légendaire dans les guides de voyage imprimés. Thèse de doctorat en communication conduite dans le cadre du Programme international de doctorat conjoint entre l’Université d’Avignon et des pays de Vaucluse et l’Université du Québec à Montréal, dirigée par Yves Jeanneret et Jacques Pierre (soutenue le 29 novembre 2010)
Bibliographic record
Abstract
On considere souvent que les guides de voyage sont des ouvrages qui ont pour seul objectif de proposer une modalite singuliere d’appropriation de l’espace dans le cadre d’une pratique touristique. On neglige, alors, deux autres dimensions pleinement constitutives de ce genre de dispositifs : celle qui concerne la lecture et celle qui concerne le discours. A propos de la premiere, on remarquera qu’on trouve, dans les guides, une somme de petits dispositifs editoriaux, tels que les sommaires, ...
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".