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LA OBSERVACIÓN CASUAL DE LAS TRANSFORMACIONES SOCIO-MEDIÁTICAS DESDE LA MIRADA DE LA CÁMARA: PRIMEROS INDICIOS EN MONTREAL Y MÉXICO DF EN LOS AÑOS NOVENTA / CASUAL OBSERVATION OF SOCIO-MEDIATIC TRANSFORMATIONS FROM DE CAMERA PERSPECTIVE: FIRST EVIDECENCES IN MONTREAL AND MEXICO D.F. IN THE 1990s

2017· article· pt· W2780777614 on OpenAlexaboutno aff
Nicolás Lorite García

Bibliographic record

VenueVivência Revista de Antropologia · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicMedia, Journalism, and Communication History
Canadian institutionsnot available
Fundersnot available
KeywordsCasualHumanitiesArtSociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Este artigo descreve as primeiras evidências de um método próprio de pesquisa audiovisual (aplicada) obtidas a partir de observação casual (mas não rasa) mediatizada por câmera no Grupo de Pesquisa sobre Indústrias Culturais e Informatização Social da Universidade de Quebec, Canadá, e no Instituto Tecnológico e de Estudos Superiores de Monterrey, México, em 1999.ABSTRACTIn this paper I describe the first evidences of an own (applied) audio-visual research method obtained after a camera mediatised casual (though not shallow) observation in the GRICIS-UQAM (Montreal) during 1996 and 1997 and in the TEC Monterrey (Mexico DF) in 1999.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.419

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.310
Teacher spread0.280 · 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 designQualitative
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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