Bibliographic record
Abstract
La socio-anthropologie du backpacking et du tourisme ne s´est guère penchée sur le sens sociologique de la pratique backpacker. Cet article entend palier cette insuffisance en présentant une typologie des expériences backpacker prenant en compte le sens que cette pratique prend pour les individus qui les vivent et les narrent. Le sens que ces backpackers confèrent au backpacking est ici examiné à l´aulne de sa signification pour la culture dont proviennent les backpackers.Une attention spéciale est portée à l´injonction identitaire performationnelle et à la question de l´authenticité.; La socio-antropología del backpacking y del turismo nunca se ha preocupado realmente del sentido sociológico de la práctica backpacker. Este artículo pretende paliar este problema, presentando una tipología de experiencias backpacker, tomando en cuenta el sentido que esa práctica toma para aquellos individuos que las viven y las narran. Examinamos aquí el sentido que dichos backpackers confieren al backpacking, desde el punto de vista del significado para la cultura de la que provienen los backpackers. Se adjudica una atención especial al mandato de identidad de performance y a la cuestión de la autenticidad.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".