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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 OpenAlexaboutno aff
Javier Díaz-Noci

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.009
Scholarly communication0.0150.011
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0090.001

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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