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Record W2610279984 · doi:10.2436/revper.v0i16.142876

¿De qué hablan los medios cuando hablan de propiedad intelectual? Un análisis comprada de contenido en la prensa de calidad

2017· article· es· W2610279984 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

VenueDialnet (Universidad de la Rioja) · 2017
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicLaw, Ethics, and AI Impact
Canadian institutionsnot available
Fundersnot available
KeywordsGuardianPolitical scienceIntellectual propertyHumanitiesGlobeKingdomLawArt

Abstract

fetched live from OpenAlex

This paper seeks to present the principal aspects and rights (moral, financial- operational or of related nature) dealt with by the leading quality media of a representtative sample of the two main legal traditions: common law (with the copyright system) and civil law (with the authors’ rights system). A content analysis is conducted on the news published by the aforementioned media in the United States (The New York Times, The Washington Post); Canada (The Globe and Mail, La Presse); France (Le Monde, Le Figaro); Spain (El Pais, El Mundo); Italy (La Repubblica, Corriere della Sera); and the United Kingdom (The Guardian, The Times), in the opening months of 2014, when several reforms were made in intellectual property, both within these nations and in supranational structures (European Union, WIPO-OMPI).

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0020.001
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 head0.017
GPT teacher head0.264
Teacher spread0.247 · 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