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Record W2021507730 · doi:10.1080/13648470802355491

The paediatric clinic as negotiated social space

2008· article· en· W2021507730 on OpenAlexaffabout
Sylvie Fortin

Bibliographic record

VenueAnthropology and Medicine · 2008
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversité de Montréal
FundersCorin Group
KeywordsEthnographySpace (punctuation)DisciplineSet (abstract data type)Diversity (politics)SociologyClinical PracticeMedicineFamily medicineNursingMedical educationPsychologySocial scienceAnthropology

Abstract

fetched live from OpenAlex

Contemporary urban diversity combined with increasing specialisation in tertiary care, technological innovations, and complexity of pathologies, render patient-physician relations challenging for both patients and practitioners. Based on ongoing research in a university paediatric hospital in Montreal, this paper examines how patient-physician relations are played out in the space of the clinic in which a set of social, cultural, structural and asymmetrical relations intertwine. Through an ethnographic approach, which includes the observation of multi-disciplinary clinical settings as well as interviews with clinicians and families (migrants and non-migrants), the paper examines how the 'images' of both the patient (his family) and the physician play an active role in the clinical encounter. Interpretations of parental attitudes by practitioners are linked to their perceived background within the local and institutional configuration of norms and values, including the notion of a 'good parent'. This research problematises the concept of culture as it is engaged by clinicians (by excluding their own) and promotes reflection on an anthropologically informed clinical practice.

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)0.006
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 score0.025
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.069
Scholarly communication0.0120.005
Open science0.0020.013
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.042
GPT teacher head0.412
Teacher spread0.370 · 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

Citations18
Published2008
Admission routes2
Has abstractyes

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