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Record W2024899098 · doi:10.4000/civilisations.475

Audience-Based Research in the Era of Democratization

2006· article· en· W2024899098 on OpenAlexaffabout
Bob W. White, Yoka Lye

Bibliographic record

VenueCivilisations · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsRepresentativeness heuristicDemocratizationActive listeningPublic relationsPolitical sciencePoliticsSociologyNegotiationRepresentation (politics)Media studiesDemocracySocial sciencePsychologySocial psychologyLaw

Abstract

fetched live from OpenAlex

As part of a multi-sited international research project (Montreal and Kinshasa) organized around the idea of audience-based research, the “Ethnographies of Listening” research team attempted to go beyond previous studies of the Congolese popular music industry by conducting systematic surveys throughout Kinshasa from June 2002 to August 2005. In the early phases, a large amount of time was spent considering the question of representativeness: how to be sure interviews were conducted in a random and representative manner. Subsequently, the reality of field research and the constraints imposed by limited communication and financial resources led to discussions about the very notion of representativeness and whether or not it was pertinent to the study of popular music. Local and foreign researchers disagreed about the importance of having equal representation in the survey sample and selection of sites. This difference of opinion led to useful discussions about the supposedly inclusive nature of this “collaborative” research project and how its evolution coincided with what some team members referred to as a democratic moment in national politics.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.147
GPT teacher head0.291
Teacher spread0.145 · 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 teacher head, not a consensus.

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

Citations11
Published2006
Admission routes2
Has abstractyes

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