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Record W2342784877 · doi:10.1080/13548506.2015.1120328

Trust in the medical profession and patient attachment style

2015· article· en· W2342784877 on OpenAlexaff
Bridget Klest, Olivia Philippon

Bibliographic record

VenuePsychology Health & Medicine · 2015
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsAttachment theoryStyle (visual arts)Interpersonal communicationPsychologyMedical professionInsecure attachmentInterpersonal relationshipAssociation (psychology)Social psychologyMedicineMedical educationPsychotherapist

Abstract

fetched live from OpenAlex

Attachment style is a person's approach to interpersonal relationships, which develops from early experiences with primary caregivers and can remain stable into adulthood. Depending on a person's attachment style, the amount of trust one has in others can vary when forming relationships, and trust is important in formation of the patient-physician relationship. The purpose of this study was to see if there is an association between attachment style and trust in physicians in general. Participants were recruited from an emergency department (ED) and an online university participant pool, and completed short questionnaires assessing attachment style and trust in the medical profession. Results revealed that individuals with a fearful attachment style reported significantly lower levels of trust in the medical profession than those with a secure attachment style. ED participants also reported higher levels of trust in the medical profession in comparison to student participants. This study provides a better understanding of trust in the medical profession, and insight into future care for patients who have low trust.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.001
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 head0.074
GPT teacher head0.520
Teacher spread0.446 · 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

Citations18
Published2015
Admission routes1
Has abstractyes

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