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Record W2255556486 · doi:10.1177/1363459315628041

Reading Balint group work through Lacan’s theory of the four discourses

2016· article· en· W2255556486 on OpenAlexaff
Kaatje Van Roy, Anne Marché-Paillé, Filip Geerardyn, Stijn Vanheule

Bibliographic record

VenueHealth An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsImpossibilityGroup workReading (process)Group (periodic table)CentralityPsychoanalysisEpistemologyGroup processPsychologyWork (physics)SociologySocial psychologyPedagogyLinguisticsPhilosophyPolitical science

Abstract

fetched live from OpenAlex

In Balint groups, (para)medical professionals explore difficult interactions with patients by means of case presentations and discussions. As the process of Balint group work is not well understood, this article investigates Balint group meetings by making use of Lacan's theory of the four discourses. Five Balint group case presentations and their subsequent group discussion were studied, resulting in the observation of five crucial aspects of Balint group work. First, Balint group participants brought puzzlement to the group, which is indicative of the structural impossibility Lacan situates at the basis of all discourse (1). As for the group discussion, we emphasize 'hysterization' as a crucial process in Balint group work (2), the supporting role of the discourse of the analyst (3) and the centrality of discourse interactions (4). Finally, the potential transformation of the initial puzzlement is discussed (5). We conclude by putting forth the uniqueness of Balint group work as well as the potential usefulness of our analysis as a framework for Balint group leaders and professionals in charge of continuing medical education.

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)0.014
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.003
Science and technology studies0.0180.071
Scholarly communication0.0140.020
Open science0.0020.011
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.097
GPT teacher head0.421
Teacher spread0.324 · 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 designNot applicable
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

Citations7
Published2016
Admission routes1
Has abstractyes

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Same venueHealth An Interdisciplinary Journal for the Social Study of Health Illness and MedicineSame topicMental Health and PsychiatryFrench-language works237,207