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Complexity and the health care professions

2010· article· en· W1577340053 on OpenAlexaff
William E. Doll, Donna Trueit

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAmbiguityHealth careComplex adaptive systemHumilityTransformative learningComplexity scienceEpistemologyComputer scienceDiversity (politics)SociologyManagement sciencePsychologyData scienceArtificial intelligencePolitical scienceLaw

Abstract

fetched live from OpenAlex

The concept of complexity is a popular and contentious topic. Just what is complexity? What does it mean to 'think complexly'? This paper addresses both of these issues. Complexity thinking is impossible to define with any precision as it deals not only with change, dynamic change, evergoing, but with transformative change. Definitions require stability, the very element complexity neither has nor aspires to have. Instead complexity asks us to see, to deal with a world in continual flux; but a world that does have patterns to it, patterns that bind and structure through their interplay. In short, complexity seeing/thinking asks us to envision our world and events within that world in terms, not of 'things' but of process. In so doing, we are moving from a science that studies particles to the new sciences of chaos and complexity that study the interactive relations between and among particles, events, happenings. After distinguishing the similarities and contrasts between chaos and complexity, and showing the characteristics of each, along with looking at systems closed and open, frames modern and post-modern, this paper enumerates practical aspects of thinking complexly: accepting ambiguity, allowing humility to permeate one's being, and seeking out and utilizing difference and diversity. The health care profession by its very nature of dealing with that which is dynamically living deals with the complex daily. Its routines and rules, though, are too often caught in a modernist trap. This paper challenges all health care professionals to break free from that trap, and suggests ways to do 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.

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)0.019
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.779
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.005
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)0.0010.000

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 head0.328
GPT teacher head0.575
Teacher spread0.247 · 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 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

Citations57
Published2010
Admission routes1
Has abstractyes

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