Bibliographic record
Abstract
En la quarta ruta organitzada pel Centre d'Estudis Alcoverencs, i per finalitzar la segona temporada de rutes del mes de marc, es va escollir corn a destí la serra del Pou.Una balconada en que, a més d'oferir-nos una magnífica v i s t a del carnp de Tarragona, trobern la creu del terrne d'Alcover, I'Albiol i Mont-ral i un pou.Un diumenge més, el 25 de mar$ del 2001, a la placa Nova, es van trobar vint-i-cinc persones per caminar cap a la plana de la serra del Pou per visitar el curiós pou d e l qual brolla aigua segons el temps-, per la vista del Camp de Tarragona i per gaudir del bosc d'alzines, rojals i boix.L'inici de la ruta es va fer arnb cotxe en direcció a Mont-ral i un cop allí vam agafar la carretera de la Mussara que passa pel Bosquet i I'Aixaviga.Un cop passats aquests nuclis i a I'alcada de mas de Vicent, en el trarn en que la carretera és més estreta (si hern posat el compta qui-Iometres a zero a Alcover n'haurem fet uns 18), entrarem en una pista forestal arnpla situada a rna esquerra.La direcció d'aquesta pista sernbla que ens hagi de portar una altra vegada cap al nucli de I'Aixaviga.Continuarern per la pista fins una gran esplanada on deixarem els cotxes.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.118 | 0.033 |
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".