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Record W2133358124 · doi:10.1177/0840470415588657

Code orange

2015· review· en· W2133358124 on OpenAlexaffabout
Denis Havlik

Bibliographic record

VenueHealthcare Management Forum · 2015
Typereview
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsContextualizationTransformational leadershipTransformative learningGrounded theoryOrange (colour)Emergency managementSociologyQualitative researchKnowledge managementBusinessPublic relationsProcess managementPolitical scienceComputer scienceSocial sciencePedagogy

Abstract

fetched live from OpenAlex

The 21(st) century calls upon health leaders to recognize and respond to emerging threats and systemic emergency management challenges through transformative processes inherent in the LEADS in a caring environment framework. Using a grounded theory approach, this qualitative study explores key informant perspectives of leaders in emergency management across Canada on pressing needs for relevant systemic transformation. The emerging model points to eight specific attributes of transformational leadership central to emergency management and suggests that contextualization of health leadership is of particular import.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5380.234

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 head0.151
GPT teacher head0.458
Teacher spread0.307 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2015
Admission routes2
Has abstractyes

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