Asian Educators Experiencing the Bamboo Ceiling: A Canadian Case Study of Systemic Barriers in Hiring, Advancement, and Promotion
Bibliographic record
Abstract
Our study amplifies the voices of Asian educators undergoing career advancement in a large district school board with a significant Asian student population in Ontario, Canada. Our data sources included survey results from 234 Asian educators and focus group transcriptions from 83 Asian educators. Grounded in Asian critical race theory (“AsianCrit”), our findings show that Asian educators faced the “bamboo ceiling,” wherein institutional barriers and inequities in relation to their Asian identity limited their career advancement when applying for leadership roles. Through a thematic analysis, we found systemic barriers: (a) pressure to conform to whiteness to advance their careers, (b) accent and name discrimination, and (c) colonial ideologies that have been normalized and embedded in leadership selection processes. Our research addresses significant gaps in the literature on Asian Canadian educators’ experiences in career advancement and contributes to the important development of AsianCrit theory.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".