Bibliographic record
Abstract
This paper delves into the concept of collegial conversation within the context of education, emphasizing the need for a transformative dialogue among educators. The importance of meaningful conversations, characterized by substantial content, voluntariness, common ground, and evolutionary aspects over time, is highlighted. The narrative then shifts to a collegial conversation between two graduate studies professionals, Author One and Author Two, focusing on the experiences of racialized educators and students in the Ontario K-12 education system. The dialogue unveils the stark underrepresentation of racialized teachers, particularly in the context of the Peel District School Board (PDSB). The authors explore the impact of whiteness on both racialized students and educators, examining systemic issues within education that perpetuate racial oppression. Author One reflects on his journey as a French teacher, exposing the challenges of conforming to Eurocentric standards, while Author Two underscores the detrimental effects of a curriculum centered around white ideologies. The conversation advocates for a shift in responsibility from blaming families to addressing institutional inequities, ultimately emphasizing the crucial role of collegial conversations in fostering genuine understanding and dismantling systemic racism in education.
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.
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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".