Bibliographic record
Abstract
In 2014, two contestants on Big Brother (CBS), Frankie Grande and Zach Rance, began a showmance (ship name: Zankie). The presence of two men in a showmance, only one of whom was openly queer before filming, created ample conversation among fans and contestants about Rance's sexual orientation, as he seemed to be undergoing a personal bi-awakening narrative on live TV. The rhetorics of reality TV paint this both as a sincere struggle and as a joking game strategy, which occasions an overdetermined scrutiny of whether Rance is really bisexual or if he is queerbaiting the audience. Rance's performance of self on the show relies on queerbaiting, but he also deploys rhetoric surrounding bisexuality that allows him to participate in a same-sex showmance while still claiming heterosexuality outside the context of the show. His contradictory articulations of identity and desire reinforce stereotypes about bisexuals while also calling into question the heteronormative assumptions behind the showmance label.
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.031 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".