‘I can work with this!’: Teaching close reading with Doug Murphy’s True Colors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores the educational potential of Doug Murphy’s animated short film True Colors (2017), focusing on its use of pink kryptonite as a catalyst for conversations regarding gender norms and identity. The film includes the brief but meaningful transformation of Superman into a woman, making it an ideal lens for examining the perpetuation and critique of gender stereotypes in superhero media. While the film portrays Superman as being equally capable regardless of sex it nevertheless reinforces stereotypes for female superheroes through visual tropes including lipstick and high heels – appearance-related accoutrements that, in fact, have been reclaimed by third-wave feminists. This article argues for the value of the film as a text for developing close reading skills, especially in the first-year undergraduate classroom, and reveals how it can profitably engage students in thinking about identity, visual storytelling and cultural norms. Finally, it weighs in on both the potential and the limitations of short films for enabling open and critical discussions about progressiveness.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it