MétaCan
Menu
← Back to cohort
Record W4253358385 · doi:10.32920/ryerson.14668110

Discourse analysis of lesbian relationships in Canadian mainstream media

2021· preprint· en· W4253358385 on OpenAlexaffabout
Emma Truscott

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsToronto Metropolitan UniversityUniversity of Calgary
Fundersnot available
KeywordsLesbianNewspaperMainstreamRepresentation (politics)Gender studiesCritical discourse analysisSociologySexual orientationIsolation (microbiology)Mass mediaDiscourse analysisComing outPsychologySocial psychologyMedia studiesPoliticsIdeologyPolitical scienceLinguistics

Abstract

fetched live from OpenAlex

In this Major Research Paper, representation of lesbian relationships was examined in Canadian newspaper articles using a critical discourse analysis. Lesbian representation in mass media has mostly conformed to heteronormative norms. This research aimed to illuminate themes present in newspaper articles from 2018 and 2019 about lesbians. Three discourses were present in these articles. They included a focus on sexual assault and sexual behaviour, the word lesbian paired with words that were sexualized or inappropriate, and the stories of coming out and facing isolation. Identifying and examining these discourses will show social workers what assumptions and prejudices lesbians may face in their lives and in representations they see. Understanding these discourses will aid in the knowledge needed to work with lesbians with intersecting identities.

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)0.005
metaresearch head score (Gemma)0.013
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 score0.106
Threshold uncertainty score0.550

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0160.016
Science and technology studies0.0180.007
Scholarly communication0.0100.002
Open science0.0010.003
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 head0.081
GPT teacher head0.401
Teacher spread0.320 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicLGBTQ Health, Identity, and Policy→French-language works237,207→