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Record W1574455015 · doi:10.7202/1072489ar

On the Lived‐Experience and Dynamics of Health and Illness: Phenomenological Complexity and Learning Organizations

2020· article· en· W1574455015 on OpenAlexaffvenue
Darren Stanley

Bibliographic record

VenuePaideusis · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsLived experienceConsciousnessDynamics (music)EpistemologyPhenomenology (philosophy)Subject (documents)SociologyPsychologyCognitive scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Many contemporary theories of “complex” dynamical phenomena have been used to explain and understand a wide range of matters pertaining to the health of learning organizations; however, a more sensitive approach is required which also takes into account the lived-experience of health where the experiencing subject is also a part of an epistemological framework which Letiche1 describes as “phenomenal complexity theory.” To be sure, there is a need for a complexity-related framework which also studies human consciousness by attending to the structures of lived-experience—in the case of this paper, the lived-structures of health. To this end, this paper examines: the notion of “health” through a circulation of lived-experience; the concept of dynamical systems in an emerging framework for studying healthy learning organizations.

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)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.273
GPT teacher head0.391
Teacher spread0.118 · 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.

Study designTheoretical or conceptual
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

Citations1
Published2020
Admission routes2
Has abstractyes

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