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
This paper extends discussion of the Ontario Human Rights Commission (OHRC) (2022a, 2022b) report entitled Right to Read, which recommended significant changes to both reading instruction and special education programs aimed at providing equitable opportunities for all children to develop strong reading skills. In a critique of the OHRC report (Cummins, 2022), I endorsed the report’s call for the establishment of an identification and intervention infrastructure to support students who are struggling to develop reading skills. However, I also critiqued the report’s misrepresentation of the strong reading achievements of Ontario students and the scapegoating of “balanced literacy.” Klein (2022) disputed this characterization of the OHRC report, highlighting the important contributions of the report to special education policies. In continuing this dialogue, I argue that the OHRC report has omitted consideration of significant dimensions of literacy acquisition and development that are directly relevant to preventing reading difficulties among Ontario children. Specifically, I argue that beyond the systematic teaching of phonics and other foundational literacy skills, which the OHRC report emphasizes almost exclusively, literacy policies should ensure that all children experience extensive opportunities for literacy socialization, which must involve active engagement with print, in both the preschool and early elementary years.
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 | 0.005 | 0.004 |
| 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 | 0.001 |
| 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 it