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Record W1826242665

Men of Montreal: An Ethnographic Study of the Gay Porn Industry

2015· dissertation· en· W1826242665 on OpenAlexaboutno aff
Lei Mao

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2015
Typedissertation
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPornographyStudioEntertainmentThe InternetEthnographyConsumption (sociology)AdvertisingCommodityEntertainment industrySociologyMedia studiesGender studiesEngineeringPolitical scienceBusinessArtVisual artsSocial scienceTelecommunicationsLaw
DOInot available

Abstract

fetched live from OpenAlex

This thesis is an ethnographic study of the newly-established gay male pornography studio Men of Montreal. Through a business research of Men of Montreal, the thesis dissects an online porn business and describes the influence the Internet has had on the gay porn industry as a whole. The three main chapters focus on the three stages of the online gay porn industry: production, distribution and consumption and how all the three stages are deeply affected by the Internet as a medium. In general, the Internet has amalgamated the different production studios into an entertainment network that funnels online distribution into an organization of affiliates, thereby creating a diverse and global scale culture of consumption. As a result, the Internet has transformed the gay porn industry into a highly niched entertainment market and normalized pornography into an everyday commodity. This thesis broadly recommends that gay pornography industry should be treated as an important object of study that merits more academic attention.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.266
Threshold uncertainty score0.535

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0190.009
Scholarly communication0.0040.002
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.083
GPT teacher head0.386
Teacher spread0.302 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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