An Irish audience negotiates lesbian visibility in the L word: “but it’s not a perfect world and not everyone looks like that”
Bibliographic record
Abstract
The L Word is a drama series revolving around the lives and loves of a group of lesbian and bisexual women in LA, executively produced by Irene Chaiken with filming locations in West Hollywood, California, and Vancouver2. The season one cast comprises of Bette (Jennifer Beals) a museum director; Tina (Laurel Holoman) a social worker, Jenny (Mia Kirshner) a writer, Shane (Katherine Moenning) a hairstylist, Alice (Leisha Hailey) journalist, Dana (Erin Daniels) a professional Tennis player, Marina (Karina Lombard) owner of the Planet Cafe, Kit (Pam Grier) a musician/club owner. Of the eight member season one cast Leisha Hailey (Alice) is the only out lesbian. The series began tentatively in 2003 with Showtime3 running a short promo for its new lesbian drama before
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".