MétaCan
Menu
Back to cohort
Record W4399710248 · doi:10.55016/ojs/ajer.v59i3.55786

Teachers' Reported Utilization of Reading Disabilities Research Authors

2014· article· en· W4399710248 on OpenAlexaffvenue
Katherine Davidson

Bibliographic record

VenueAlberta Journal of Educational Research · 2014
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsWestern University
Fundersnot available
KeywordsReading (process)PsychologyMathematics educationEducational researchPedagogyDevelopmental psychologyLinguistics

Abstract

fetched live from OpenAlex

This study was conducted to explore elementary school teachers’ uses of reading disabilities research. A modified version of Knott and Wildavsky’s (1980) knowledge utilization framework underpinned the investigation. Teachers completed a questionnaire and participated in focus groups which elicited their reported uses of reading disabilities research. Results revealed that teachers read and understand, refer to, attempt, adopt into policy, implement, and implement with desired results research on reading disabilities “sometimes.” The teachers’ acquisition of research through passive reception or “actively seeking and finding it” occurred less often than using, adopting, implementing or referring to the research “sometimes.” These findings are significant in light of the high incidence of reading disabilities. The findings suggest that students are not receiving evidence-based instruction that has the potential to alleviate or eliminate reading disabilities. This study has implications for increased research dissemination efforts and for continued investigations of obstacles to research use and means to facilitate the use of reading disabilities research.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.111
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.259
GPT teacher head0.522
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainMethods
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

Citations2
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueAlberta Journal of Educational ResearchSame topicReading and Literacy DevelopmentFrench-language works237,207