Designed to Fail: Media Representations of Racialized Classrooms and Schools
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
Educational institutions are assumed to be racially neutral. However, media represents the achievement and ability of individual students and schools disparately and gives these attributes racial meaning. The scenes and sets in movies in the background seldom enter our consciousness and are assumed natural and normal in the context of movies and the stories they communicate. However, audiences, media institutions and set designers draw on shared cultural understandings to communicate and interpret the racial implications behind objects, placement of bodies, and scenery (Entman, 1993, pp. 52-53). Negative media portrayals of Black students and their school environments suggest that there is a problem with urban education. These representations and images suggest that the setting and the objects within it have purpose and meaning that is important in relaying the intended message. This study examines physical elements represented in classroom and school spaces in four movies: Akeelah and the Bee (2006), Finding Forrester (2000), Coach Carter (2005), High School Musical (2006). Utilizing a visual analysis of scenes depicting classrooms and school exteriors in these films, this study sought to examine how these representations of schools are presented as racialized spaces. Based on the data collected, the study concluded school spaces are represented disparately if they are assumed to contain Black racialized bodies than they are if they are assumed to be white spaces. Representations of urban schools with Black student populations contain multiple elements of surveillance, control and categorization.
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 | 0.002 | 0.002 |
| 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