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Record W2805566390 · doi:10.1177/0020731418768186

The Influence of Individuals’ Vulnerabilities and Their Interactions on the Assessment of a Primary Care Experience

2018· article· en· W2805566390 on OpenAlexaff
Ola M. Haidar, Paul A. Lamarche, Jean‐Frédéric Lévesque, Robert Pampalon

Bibliographic record

VenueInternational Journal of Health Services · 2018
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversité de Montréal
FundersSchool for Public Health ResearchBeryl Institute
KeywordsVulnerability (computing)Vulnerability assessmentHealth carePsychologyRisk assessmentMedicineNursingPolitical scienceComputer securityComputer sciencePsychological intervention

Abstract

fetched live from OpenAlex

This study examines the relationship between the vulnerabilities of individuals and their assessments of their primary care experiences in the setting of a universal care system. It focuses on 2 specific objectives: (1) evaluating the influence of each of the 5 vulnerabilities on the assessment of the care experience; (2) evaluating the influence of the interactions between the different types of vulnerabilities on the assessment of the care experience. The study identifies the primary care experience of 9,206 people. The health-related, biological, material, relational, and cultural vulnerabilities are also evaluated. Generally, individuals' vulnerabilities are associated with a positive assessment of the primary care experience except for the cultural vulnerability. Material vulnerability is most frequently associated with a positive assessment of the primary care experience. The interactions between the multiple vulnerabilities present for one individual often modify the effect of vulnerability on the assessment of the experience of care. The positive effect of a vulnerability on the assessment of the care experience often increases in the presence of a second vulnerability, especially the health-related vulnerability. The simultaneous presence of health-related vulnerability cancels the negative influence of cultural vulnerability on the assessment of the primary care experience.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.172

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.399
Teacher spread0.372 · 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.

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

Citations8
Published2018
Admission routes1
Has abstractyes

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