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Record W2238984460 · doi:10.5430/jnep.v6n5p75

Unmet medical care needs in persons with multiple chemical sensitivity: A grounded theory of contested illness

2016· article· en· W2238984460 on OpenAlexvenueno aff
Pamela Reed Gibson, Britney M. Leaf, Victoria Komisarcik

Bibliographic record

VenueJournal of Nursing Education and Practice · 2016
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsGrounded theoryMainstreamHealth carePsychological interventionPopulationQualitative researchPsychologyNursingMedicineSociologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

We interviewed nineteen persons with self-reported multiple chemical sensitivities in order to explore medical care access and use for this population with a “contested” illness. Interviews were analyzed using grounded theory in the tradition of Glaser, via incident, focused, and theoretical coding. We named the core category health quest (resisting annihilation) and construed four categories that embody the essence of this quest: illness as omnipotent, bidding for access, standard protocols irrelevant, and transcending hegemony. The categories suggest that mainstream medicine is unprepared to care for this population, that standard interventions are ineffective but used regardless, and that persons feel that they must survive on their own outside of the structured medical care system. In fact, most informants avoided medical care unless faced with an emergency. Results are discussed in terms of the need to recognize and understand this health problem.

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)0.009
metaresearch head score (Gemma)0.008
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 score0.009
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0070.014
Scholarly communication0.0050.006
Open science0.0020.004
Research integrity0.0020.003
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 head0.045
GPT teacher head0.383
Teacher spread0.337 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

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Same venueJournal of Nursing Education and PracticeSame topicFibromyalgia and Chronic Fatigue Syndrome ResearchFrench-language works237,207