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Record W746356809 · doi:10.1177/1744629515583417

Brenna’s story

2015· article· en· W746356809 on OpenAlexaffabout
Amanda Bye, Megan Aston

Bibliographic record

VenueJournal of Intellectual Disabilities · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNova scotiaMainstreamFeelingReferralPsychologyIntellectual disabilityDaughterHealth carePsychoanalysisSociologySocial psychologyNursingMedicinePsychiatryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Children with intellectual disabilities spend more time in the health-care system than mainstream children. Parents have to learn how to navigate the system by coordinating appointments, understanding the referral process, knowing what services are available, and advocating for those services. This places an incredible amount of responsibility on families. This article is one mother's personal story and reflection about her journey through the Canadian health-care system in Nova Scotia, with her daughter who has an intellectual disability. The reflection identifies moments of tension experienced by a mother and how she was expected to be a medical system navigator, doctor-educator, time manager, and care coordinator and the roles that led to feelings of repression, extreme frustration, and fear. A final discussion offers an analysis of her experience, using concepts from feminist post-structuralism.

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)0.002
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.023
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)0.0010.000

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 head0.219
GPT teacher head0.409
Teacher spread0.191 · 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 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

Citations6
Published2015
Admission routes2
Has abstractyes

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