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Record W4381548802 · doi:10.22329/jtl.v17i1.7426

Stones from a Glasshouse

2023· article· en· W4381548802 on OpenAlexaffvenueabout
Joe Stouffer, Janice Van Dyke

Bibliographic record

VenueJournal of Teaching and Learning · 2023
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsBrandon University
Fundersnot available
KeywordsReading (process)Psychological interventionCONTESTLiteracyIntervention (counseling)CommissionPsychologyPedagogyPublic relationsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The Ontario Human Rights Commission’s (OHCR) Right to Read Report calls for school districts to implement early literacy interventions that have been scientifically proven to be effective for young children with reading difficulties. The acknowledgment of early intervention as an essential service for young children experiencing reading difficulties is a strong and welcome message in the report. However, the report recommends a narrow course for reading interventions in Ontario, drawing on discourse from the Science of Reading community, which questionably frames current interventions, such as Reading Recovery, as unscientific, ineffective commercial programs. In this response, the authors contest the one-sidedness of these recommendations based on a paradox in the report between what constitutes an effective early literacy intervention supported by science and the standards for effectiveness the OHRC requires of interventions it endorses versus those it discredits. Rather than dismissing one approach or the other outright, a call is made for school leadership to consider broader reading science and the strengths of various approaches instead of narrowing the menu of effective literacy interventions that may support diverse learners.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.330
Teacher spread0.306 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes3
Has abstractyes

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