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Record W1555553239 · doi:10.5206/eei.v18i2.7624

Compensating for Reading Difficulties:A Qualitative Investigation of University Students’ Experiencesof Influential Personal Characteristics

2008· article· en· W1555553239 on OpenAlex
Julie K. Corkett, Serge F. Hein, Rauno Parrila

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.

Bibliographic record

VenueExceptionality Education International · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of AlbertaNipissing University
Fundersnot available
KeywordsReading (process)PsychologyVariety (cybernetics)Qualitative researchSample (material)Mathematics educationQualitative propertyData collectionPedagogySocial psychologyComputer scienceSociology

Abstract

fetched live from OpenAlex

This study involved a qualitative examination of the personal characteristics that university students saw as important in helping them to compensate for their reading difficulties at various stages of their education. The sample consisted of 10 undergraduate students or recent graduates who reported a significant history of reading difficulties. Data were collected using in-depth, open-ended interviews with each participant. These data were then analyzed using a form of whole text analysis and resulted in four major themes: seeking assistance from others, de-veloping positive relationships with others, being highly motivated to achieve, and maintaining a belief in one’s abilities. The findings highlight the broad range of factors that can influence motivation and self-concept and the wide variety of people who can be involved in providing assistance to individuals with reading difficulties. The implications of the findings for educational practice and for fur-ther research are discussed.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.276
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.107
GPT teacher head0.424
Teacher spread0.317 · 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