MétaCan
Menu
Back to cohort
Record W2044731298 · doi:10.1177/1363459307086843

Structural constraints and opportunities for CAM use and referral by physicians, nurses, and midwives

2008· article· en· W2044731298 on OpenAlex
Kristine Hirschkorn, Ivy Lynn Bourgeault

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsReferralFamily medicineMedicineNursingNurse-MidwivesMedical educationPregnancy

Abstract

fetched live from OpenAlex

This article examines the attitudes and reported behaviors of physicians, nurses, and midwives regarding complementary and alternative medicine (CAM), with respect to one key theme that emerged from a broader qualitative study. Of central interest are the structural influences identified by study participants that either act as constraints or opportunities for their professional use of or referral for CAM. In an effort to interpret these results, the analysis is situated within the sociology literature that documents the influences of professional socialization, practice philosophy, regulation, and organizations on professional behavior. These influences are classified as either professional-level structures or work/organizational structures. The main conclusion is that future research should pay more attention to such structural dimensions that may be exerting influence on the decisions of providers about whether or not to professionally use or refer for CAM. This article is offered as a conceptual starting point for doing so.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0080.002
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 head0.242
GPT teacher head0.478
Teacher spread0.236 · 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