Bibliographic record
Abstract
Le village inuit d’Arviat, situé au sud-ouest du Nunavut, est aujourd’hui au coeur d’un programme de développement touristique communautaire mené par le Nunavut Tunngavik Inc. et la région de Kivalliq. Ce programme vise à développer les services touristiques de la communauté qui se limitent pour le moment à du tourisme de chasse. Cet article analyse les dynamiques développées par ce programme de tourisme de découverte de l’environnement et décrit ses principaux enjeux. La recherche se fonde sur une revue de la littérature concernant le tourisme au Nunavut, complétée par une enquête de terrain qualitative (entretiens semi-directifs et observations) menée à Arviat en mai 2011. Suite à une présentation du tourisme de chasse, la mise en oeuvre de nouveaux services touristiques est discutée. Le programme tend notamment à renforcer les capacités d’adaptation de la communauté à un système socio-écologique en constante évolution. L’article se termine sur les réalisations du programme et les enjeux futurs.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".