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Record W2888492706 · doi:10.1177/0840470418778051

The mental demands of leadership in complex adaptive systems

2018· article· en· W2888492706 on OpenAlexaff
David Petrie, Robert Chad Swanson

Bibliographic record

VenueHealthcare Management Forum · 2018
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsNova Scotia Health AuthorityDalhousie University
Fundersnot available
KeywordsComplex adaptive systemMindsetMetaphorInterdependenceCognitive sciencePsychologyInterpersonal communicationComputer scienceMirroringKnowledge managementCognitive psychologySociologyEpistemologyArtificial intelligenceSocial psychologySocial science

Abstract

fetched live from OpenAlex

After a decade of calls for healthcare transformation, there is a convergence of themes in our general orienting models. The core metaphor of health system as machine (with closed boundaries, linear functions, and controlled predictable outputs) has given way to health as ecosystem (with open boundaries, non-linear functions, multiple interdependencies, and no single locus of control over outcomes). Current developmental psychology theory suggests that people construct their reality, and interact with their world, based on the epistemology (or "action-logic" or "mindset") of their stage of development. Through this lens, the skills for leading large-scale change in our increasingly complex world require significant cognitive and interpersonal development. The concept of vertical development may be an underemphasized aspect of system change. This article will discuss a new set of leadership skills and frameworks that emerge in the nexus of complex adaptive systems and adult development theory.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.296
GPT teacher head0.426
Teacher spread0.130 · 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

Citations19
Published2018
Admission routes1
Has abstractyes

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