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Record W3177774945 · doi:10.22215/etd/2016-11360

The Acisted Eye: Transgender and Intersex Bodies in International Cis-Authored Film and Television

2016· dissertation· en· W3177774945 on OpenAlexaff
Evan Read Armstrong

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsCarleton University
Fundersnot available
KeywordsTransgenderMainstreamScholarshipGender studiesRepresentation (politics)SociologyPoliticsAestheticsArtPolitical science

Abstract

fetched live from OpenAlex

Dealing with the politics of representation, this thesis examines the implications of mainstream media depicting minority bodies. Contemporary North American media is inundated with images of transgender bodies. But who is depicting these bodies and how are they directing the spectator to look and listen to the transgender or intersex protagonist? This thesis explores the different ways in which contemporary cisgender filmmakers in Australia, France, the United States and Uruguay encourage spectators to understand the transgender body, while counterbalancing this analysis with a depictions of an intersex experience. By analyzing three different modes of fashioning the transgender and intersex protagonists (through self-representation, by the camera and production by the diegetic home) the formation of identities can be firmly mapped. This thesis uses close visual analysis in relation to key theories in trans scholarship to understand how transgender and intersex bodies are being fictionally represented by their cisgender counterparts.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.026
GPT teacher head0.353
Teacher spread0.327 · 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.

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
Published2016
Admission routes1
Has abstractyes

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