Constructing identities through music videos: a case study analysis of Tegan and Sara's music videos
Bibliographic record
Abstract
"I believe that our music does not have sexuality," proclaimed Sara of Tegan and Sara, in an interview for The Advocate (200S). This paper argues that Tegan and Sara's music videos do in fact contain elements that reflect their sexuality, and examines the extent to which these videos demonstrate their public identity. In order to understand the composition of music videos and the nonverbal signs related to gender and sexuality within them, I draw upon theories of performed identity, music video genres, settings, and lyrical analysis. In examining three of Tegan and Sara's music videos, "The First" (2000), "Back In Your Head" (2007), and "Closer" (2012). I present a narrative structure of their musical career, and outline how their approach and portrayal of their sexual orientation has evolved over the thirteen years they have been together as a band. The results show that Tegan and Sara have increasingly embraced their gender and sexuality over time.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".