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Record W359905289 · doi:10.82308/23017

Reading cycles : the culture of BMX freestyle

2006· book· en· W359905289 on OpenAlexfundno aff
Wade Gordon James Nelson

Bibliographic record

VenueeScholarship@McGill (McGill) · 2006
Typebook
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
FundersMcGill University
KeywordsReading (process)PsychologyArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

This dissertation draws from and contributes to many traditions within the (interdisciplinary) discipline of communication studies. Serving the two primary objectives of the examination of the figure of the BMX freestyle cycling Pro and the analysis of the role of the magazines within this particular culture or field in the construction and maintenance of this figure, this project brings together studies of cultural intermediaries, magazine history, advertising history and theory, subcultures, audiences, commodification, cultural industries, celebrity, stars and professional athletes. The culture of BMX freestyle cycling is an interesting and heretofore unexamined phenomenon, and a focused examination allows the exploration and investigation of larger questions within the discipline. As such, this dissertation provides an informed interpretation of the culture of BMX freestyle, allows the examination of a number of other issues concerning the mediation of cultural practices, and suggests a theory of the special-interest magazine, thus contributing substantively to various literatures. Special-interest magazines are a part of a larger system and industries within which the ultimate goal is the sale of commodities. At the same time, they function as a site of credibility within a larger field, both conferring star status on particular individuals and approving particular commodities that are being offered to the readers. Special-interest magazines construct and sell audiences to advertisers, create star systems, propose candidates for stardom, help build image careers, contribute substantially to a "star currency" within the particular field, negotiate (i.e.; mediate) tensions between the advertisers, the stars, and the readers, help organize the time of a culture and work to infuse it with a sense of vitality through the punctual and ritualistic appearance of novel content, assist the consumer with their desires for commodities and stars by standing as catalogues of commodities (serving to educate newcomers in the protocol of the culture), provide new financial opportunities (such as the commodity form of the photo contingency), and in their complicity with the needs of those that provide their primary source of revenue, give more value to the advertising dollar in the construction of editorial content that could be seen as advertising.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.250
Teacher spread0.234 · 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
GenreOther

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

Citations7
Published2006
Admission routes1
Has abstractyes

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