A Gendered and Racialized Educational Hierarchy: Disparities in Elementary School Teachers’ Perceptions of Student Behavior
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
Abstract This paper uses an intersectional framework to account for the degree to which race, when intersecting gender, relates to teachers’ evaluations of US elementary school children over time. Drawing on longitudinal data from the 2011 Early Childhood Longitudinal Study-Kindergarten cohort, we employ growth curve modeling to study descriptive trends in teacher perceptions of student behavior from kindergarten through fifth grade. We find that educators’ perceptions of White, Asian American, and Latinx girls increase over time, while their perceptions of Black girls remain flat. Meanwhile, a different longitudinal trend emerges among boys. Although teachers’ views of Black boys decrease over time, their views of other boys increase to the levels of Black girls, or higher, by the end of fifth grade. This analysis reveals how teachers’ perceptions coalesce into an emerging hierarchy that—by the end of fifth grade—most sharply contrasts the behavior of Asian American girls and Black boys. Our intersectional approach and the theoretical framework informing it underscore the limits to considering how educators distinguish students by gender or race alone. Together, gender and race more fully account for differences in how educators perceive student behavior over time.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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