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Record W4404893136 · doi:10.47678/cjhe.v1i1.190179

Unexpected Journeys: The Professional Identity Development of Canadian Accessibility Advisors

2024· article· en· W4404893136 on OpenAlexaffvenueabout
Brenda McDermott

Bibliographic record

VenueCanadian Journal of Higher Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIdentity (music)SociologyPublic relationsPolitical scienceArtAesthetics

Abstract

fetched live from OpenAlex

Through examining nine Accessibility Advisors' (AA) stories of becoming, this study provides an important entry point into understanding the individuals whose work is central to supporting students with disabilities within Canadian post-secondary institutions. This understanding adds to the existing literature, augmenting the current work on student experience and policy development. The respondents describe an unplanned, but formative, journey that led to a committed career in disability advising. AA’s construction of their professional identities provides a lens into how post-secondary disability support is tied to the medicalization of disability and advisors’ acknowledgement of the social construction of disability. Advisors start their narratives in post-secondary institutions and experiences related to disability, leading up to an unanticipated job opportunity. Once in the role, the narratives note the importance of professional development in understanding the role. As the advisors conclude their stories of becoming, they return to their pre-role experiences adding new intentionality to the past experiences, connecting post-secondary context to a social definition of disability. As a result, the narratives show how AA situate their work as policy drivers as neutral – neither faculty nor student aligned. However, this neutrality reflects the need of the AA in research-focused universities to develop cultural capital as third space professionals.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.054
GPT teacher head0.392
Teacher spread0.338 · 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 designNot applicable
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

Citations0
Published2024
Admission routes3
Has abstractyes

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