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Record W259769259

Facing Challenges: Experiences of Young Women with Disabilities Attending a Canadian University.

2011· article· en· W259769259 on OpenAlexaboutno aff
Özlem Erten

Bibliographic record

VenueThe Journal of Postsecondary Education and Disability · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHigher educationPostsecondary educationPedagogyDevelopmental psychologyGerontologyMedical educationMedicinePolitical science
DOInot available

Abstract

fetched live from OpenAlex

This qualitative study examines the perspectives of students with disabilities studying at a postsecondary institution in Canada. Seven female students, five of them with learning disabilities, participated in focus group meetings and shared their experiences of studying at a university. Both individual characteristics, such as disability-specific needs, and contextual factors, including attitudes of faculty members and peers, were reported as barriers affecting students’ full participation to university life. Participants reported that the Office for Students with Disabilities acted as an important support mechanism at the overall school-level. Findings indicate that postsecondary institutions should support students with disabilities not only by providing accommodations but also by addressing hidden attitudinal barriers to enable equal participation opportunities for all. Some recommendations for creating a barrier-free school community are made based on the suggestions of the participants. Increasing numbers of students with disabilities choose to pursue postsecondary education in North

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0390.006
Scholarly communication0.0070.003
Open science0.0030.009
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.044
GPT teacher head0.284
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations52
Published2011
Admission routes1
Has abstractno

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