Between innovation and tradition: the difficult reconstruction of a "common world" in a natural mid-mountain.
Bibliographic record
Abstract
This study focuses on a natural area of middle-altitude mountain (the col du Barioz resort) located near Grenoble in France. The site is characterized by interactions between sports, tourism and institutional stakeholders that are intertwined with more traditional uses of the area such as hunting and pastoral activities. The objective of this study is to analyze a space of ordinary nature and to understand how the organization of the site changes with innovations. The survey is based on semi-structured interviews with the main stakeholders of the site. The action context is characterized by a heightened conflict between different sports and non-sports practitioners: skiers and snowboarders, snowshoers and cross-country skiers, hunting and various sporting activities, practices involving travel such as mountain biking, or equestrian tourism and pastoral activities. Using actor–network theory, the authors show how some sports innovations deconstruct existing networks by multiplying conflicts. For example, the introduction of a fee for snowshoeing was a mediator that broke up the tourism network. The authors also highlight how resistance to change is organized, sometimes resulting in the exclusion of sports activities which are seen as disturbing other, traditional uses of the site.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.028 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".