Bibliographic record
Abstract
CRÍTICA •* *• [í-EiViSTA Dll GlUONA •> \ÚM.2Ü9 Ni iVI.Mlllíl-I )l SI.Mlilíl 2uii| •$' [Cif^yl 87 laboral, i, ací-s el tipus de contractacioiis, la qualificació exigida és baixa.L'aiitor tamiié fj rekTcncia n ['estructura liorcL'ra de la localita:.La rnajor pnrt deis establimcnts nti ion gaire graiis (iionics un hotel supera lt;s l.f.KjIl places, i 11 superen les SDÍI), encara que uiperiors ais coinpetidors niés propers, que també busquen el turista de niasses, de sol i plarja.Eri canvi, l'estudi advertci^ que Llorct no és un referen t peí que fa a place?de camping: representa només el 3,13% del total de places de la Costa Brava.Tot i les obres de reniodelaeió deis darrers anys, Arbó assenyab que restruí'tuní botelera és .L'analisi posa de niaiiifest que el turisnie ha deixat de ser un produete amb una demanda en eoustant cieixenienc.El procés de globalització de la competencia exigeix de les enipreses turísdques estratcí;¡es adrei,-ades a la recerca d'una especialització.Arbó sosté que la iniportaiit trndició en l'activitac i la promoció turística, que ba d'ajudar en aquesta época de canvis, i l'experiéncia deis eiiipresaris de Llorct lian de ter possible la
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.212 | 0.071 |
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".