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Record W2472348967 · doi:10.1163/18739865-00902004

Nadir’s Intimate Biography

2016· article· en· W2472348967 on OpenAlexaff
Mathew Gagné

Bibliographic record

VenueMiddle East Journal of Culture and Communication · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFantasyPleasureSociologyBiographyAestheticsReality televisionPsychologyMedia studiesArtLiterature

Abstract

fetched live from OpenAlex

In Beirut, gay hook-up and mobile apps have become popular among men who want to arrange sex. These apps generate a new means for men to explore possibilities in their intimate lives, impacting the ways they create fantastical imaginaries of self, others, and sexual and social encounters. Focusing on the intimate biography of Nadir, in this paper I examine the relationship between fantasy and information in these media. I examine how Nadir exchanges, consumes and arranges information via media to create fantastical imaginaries about possible sex and pleasure, and to control possible outcomes in his intimate life. Once Nadir moves his interactions offline, he relies on information flows to evaluate the strength of his intimate relations. This article contributes to debates on the role of fantasy in digital cultures by examining how fantasy in digital media becomes informational, grounded to sociocultural systems of signification and communications and is negotiated within imaginative horizons of intimate possibilities.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.003
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.034
GPT teacher head0.277
Teacher spread0.243 · 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 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

Citations3
Published2016
Admission routes1
Has abstractyes

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