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Record W2235837652 · doi:10.5296/ije.v7i4.8260

An Interactionist Approach to Learning Disabilities

2015· article· en· W2235837652 on OpenAlex
Hilary Scruton, John K. McNamara

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.

Bibliographic record

VenueInternational Journal of Education · 2015
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsBrock University
Fundersnot available
KeywordsLearning disabilityPsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

<p>Traditional approaches to understanding learning disabilities date back to the early twentieth<br />century and are based primarily on medical models. Several useful strategies and techniques<br />emerged from these early models and still influence today’s classrooms. However, there are<br />also disadvantages to traditional approaches in that the models place much of the burden of<br />the disability on the individual. Post-modern and strength-based perspectives on learning<br />disabilities have attempted to account for the drawbacks of traditional models and have<br />re-framed learning disabilities in broader social and cultural contexts. The current paper<br />reviews these three perspectives and offers an alternative approach that attempts to bridge the<br />modern and post-modern perspectives on learning disabilities. The interactionist approached<br />offered in this paper calls for a processural or multi-faceted conception of learning disabilities.<br />Interactionism encourages educators and students with and without learning disabilities to<br />engage differences in ways that explore possibilities for productive and positive learning<br />from each other.</p>

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.050
GPT teacher head0.416
Teacher spread0.366 · 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