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Record W2808412540 · doi:10.7202/1043869ar

Rubén López-Cano et Ursula San Cristobal Opazo. 2014. Investigación artística en música. Problemas, métodos, experiencias y modelos. Mexico et Barcelone : Fondo Nacional para la Cultura y las Artes et ESMuC. p. 259. ISBN : 978-84-697-1948-0

2016· article· es· W2808412540 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueIntersections Canadian Journal of Music · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicMultidisciplinary Research Papers Compilation
Canadian institutionsCanadian University Music Society
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Rubén López-Cano et Úrsula San Cristóbal Opazo. 2014. Investigación artística en música. Problemas, métodos, experiencias y modelos. Mexico et Barcelone : Fondo Nacional para la Cultura y las Artes et ESMuC. p. 259. ISBN : 978-84-697-1948-0. An article from journal Intersections (Volume 36, Number 1, 2016, pp. 3-105), on Érudit.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.345
Teacher spread0.295 · 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