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Record W4321022324 · doi:10.22329/jtl.v16i3.7495

Response to Cummins: The OHRC Right to Read Report will Move Ontario into the 21st Century

2022· article· en· W4321022324 on OpenAlex
Perry D. Klein

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Teaching and Learning · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsWestern University
Fundersnot available
KeywordsSection (typography)Human rightsReading (process)LiteracySpecial sectionCommissionSpecial educationPolitical sciencePedagogyLearning to readLibrary scienceSociologyLawEngineeringComputer science

Abstract

fetched live from OpenAlex

In the April 2022 issue of the Journal of Teaching and Learning, Dr. Jim Cummins responded to the Ontario Human Rights Commission (2022a, 2022b) report on the Right to Read: Public Inquiry into Human Rights Issues Affecting Students with Reading Disabilities. He expressed several views on literacy education that are moderate and consistent with research. However, his very critical appraisal of the report is misdirected. The first section of the present article documents several recommendations and positions that Cummins attributes to the report but that it does not actually contain. The second section identifies five ways in which this report will bring Ontario’s special education policy into the 21st century, which Cummins has missed. The Right to Read report provides a paradigm for special education that Ontario should now apply to additional domains such as mathematics and social and emotional learning.

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 imitation

Not 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.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.349
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it