CatòliCat: un podcast pensat pels catòlics de Catalunya
Bibliographic record
Abstract
El podcast s'està convertint en un format sonor de gran popularitat per les facilitats que ofereix als \nproductors de contingut, però a diferència de la ràdio convencional, aquest nou format, destaca per \nla possibilitat de dirigir el contingut a un públic objectiu molt concret i diferenciat. \nEl present treball té com a objectiu crear un podcast catòlic en català. Així doncs, per assolir aquest \nobjectiu en primer lloc s'abordarà un estudi transversal dels aspectes que s'han de conèixer abans de \ncrear la proposta en qüestió. En segon lloc, es realitzarà una anàlisi del contingut de les dues \nemissores que s'agafen com a referència, en aquest cas, Radio María i Ràdio Estel. Seguidament es \npassarà a realitzar la producció i gravació de dos programes del podcast. I per finalitzar, es \npresentarà un pla de comunicació per xarxes socials.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.012 |
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".