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Record W2123510876 · doi:10.1177/2165143413490792

Supporting Postsecondary Students With Sensory or Mobility Impairments in Reaching Their Career Aspirations

2013· article· en· W2123510876 on OpenAlexaff
Stephanie Jones Berry, José F. Domene

Bibliographic record

VenueCareer Development and Transition for Exceptional Individuals · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversity of New Brunswick
FundersU.S. Department of Justice
KeywordsPsychologySalientPostsecondary educationApplied psychologyMedical educationHigher education

Abstract

fetched live from OpenAlex

This study investigated the kinds of supports postsecondary students who have mobility or sensory impairments perceived as being most effective in assisting them to attain their career aspirations. Semistructured interviews were conducted with 15 postsecondary students who self-identified as having a permanent mobility or sensory impairment, aged 19 to 32 years. Thorne’s (2008) inductive approach to content analysis was used to extract salient themes from the data. Three core findings emerged, with participants (a) identifying a wide range of individuals as being important sources of support, (b) citing important internal resources perceived to be as important as their social support networks in helping them to reach their goals, and (c) describing fewer environmental and material supports, but still perceived these to be crucial in facilitating educational and career success. Overall, these students were able to identify many kinds of support and experienced success in accessing them. Implications for future research and practice 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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.094
GPT teacher head0.349
Teacher spread0.255 · 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

Citations19
Published2013
Admission routes1
Has abstractyes

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