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Record W1848146328

Análisis de la creación de valor en el e-business: una aplicación al sector de distribución de noticias "on-line"

2006· article· es· W1848146328 on OpenAlexaboutno aff
Antonio Padilla Meléndez, Christian Serarols i Tarrés, Ana Rosa del Águila Obra

Bibliographic record

VenueBoletín económico de ICE, Información Comercial Española · 2006
Typearticle
Languagees
FieldComputer Science
TopicMedia and Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceValue creationArtBusiness
DOInot available

Abstract

fetched live from OpenAlex

Este trabajo analiza la transformacion del sector de distribucion de noticias hacia una industria de medios de comunicacion digitales desde la perspectiva de la cadena de valor y la creacion de valor, en entornos virtuales, y explora como crean valor los nuevos intermediarios que estan desarrollandose a raiz de este proceso. Para lograr estos objetivos se ha realizado un estudio exploratorio y un estudio de casos a traves de entrevistas personales con informadores estrategicos y un analisis del contenido de las paginas web de 56 empresas relacionadas con el sector, principalmente. Se han analizado empresas de EEUU, Canada, Espana, Francia, Alemania, Reino Unido y Suiza.

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)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0010.001
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.013
GPT teacher head0.297
Teacher spread0.285 · 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 designNot applicable
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
Published2006
Admission routes1
Has abstractyes

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