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
The purpose of our collaborative research is to explore the most significant ways in which streaming in high schools inhibit inclusivity. The negative impacts of streaming include: unequal career, educational, and life opportunities for Applied and Academic stream students; (Ontario Educators, 2023); social hierarchies/divisions (Hallan & Ireson, 2006); differences in mental health supports; and inequitable intellectual expectations based on race, gender, and socioeconomic position (Barry et al., 2022). Findings suggest that educators can improve experiences of student inclusivity in high schools by emphasizing the focus on the learning setting and student needs rather than on streams. Teacher Education programs can emphasize cultural competence and differentiated instruction. Governments can continue to dismantle streams by developing new accessible and inclusive curricula and utilizing a variety of accessible assessment approaches to dismantle systemic discrimination of streaming that marginalizes Black, Indigenous, racialized, low-income, disabled, and special needs students.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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