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Record W2530403953 · doi:10.16997/wpcc.138

‘‘A Public sense of ourselves’’: communication and community-building in Canada’s LesbiaNews/LNews, 1989–98

2017· article· en· W2530403953 on OpenAlexaffabout
Barbara M. Freeman

Bibliographic record

VenueWestminster Papers in Communication and Culture · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsCarleton University
Fundersnot available
KeywordsLesbianPublic sphereSolidarityGender studiesPoliticsFeminismMandateSociologyMedia studiesIdentity (music)Diversity (politics)QueerPolitical scienceLawAestheticsAnthropologyArt

Abstract

fetched live from OpenAlex

LesbiaNews, later known as LNews, was an alternative media monthly, written and produced in Victoria, British Columbia by a dedicated group of women who devoted themselves to raising the public profile of the lesbian community through its pages. It was an outstanding example of a counter-public sphere publication, produced by and for a female minority group. Using critical feminist analysis of its contents and oral history interviews with its key editors, this article explores how LesbiaNews/LNews’ shifting editorial mandate reflected the conflicts among its contributors and readers over lesbian feminism and sexual identity politics. The editors, who all held their own strong beliefs, found that promoting both solidarity and diversity was difficult in a lesbian community that was increasingly apolitical, fragmented and elusive, and losing its few social supports.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.121
Threshold uncertainty score0.881

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0420.014
Scholarly communication0.0110.003
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.039
GPT teacher head0.269
Teacher spread0.230 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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