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Record W1826280785 · doi:10.55016/ojs/ajer.v58i3.55626

An Exploration of the Utility of a Knowledge Utilization Framework to Study the Gap Between Reading Disabilities Research and Practice

2012· article· en· W1826280785 on OpenAlexaffvenue
Katherine Davidson, Elizabeth Nowicki

Bibliographic record

VenueAlberta Journal of Educational Research · 2012
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsWestern University
Fundersnot available
KeywordsReading (process)Context (archaeology)PsychologyQualitative researchSemi-structured interviewKnowledge levelMultimethodologyEducational researchMathematics educationMedical educationPedagogyKnowledge managementComputer scienceSociologyMedicine

Abstract

fetched live from OpenAlex

This pre-pilot study explored the usefulness of a knowledge utilization framework comprised of Knott and Wildavsky’s (1980) seven stages of knowledge use and Stone’s (2002) three routes to knowledge use to investigate the gap between reading disabilities research and teachers’ self-reported use of that research. Semi-structured interviews of ten elementary school teachers were undertaken. A qualitative analysis of the interview data indicated that the framework was effective for categorizing and interpreting the interview responses. Findings indicated that a divide between research and reported practice potentially begins with an inadequate reception of research, and that a divide is exacerbated by limited reading and implementation of research knowledge by teachers. The knowledge utilization framework also assisted in identifying obstacles to teachers’ reported use of research. These obstacles were successfully categorized according to the variables of supply, demand, and context. The combined framework of knowledge utilization has potential for studying the use of research by teachers.

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)0.015
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.553
GPT teacher head0.593
Teacher spread0.041 · 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.

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

Citations8
Published2012
Admission routes2
Has abstractyes

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