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Record W6989817395

CatòliCat: un podcast pensat pels catòlics de Catalunya

2021· dissertation· ca· W6989817395 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRepositori ObertUDL (University of Lleida) · 2021
Typedissertation
Languageca
FieldBusiness, Management and Accounting
TopicConsumer Packaging Perceptions and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)Period (music)Quarter (Canadian coin)Settlement (finance)
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.197
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it