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Record W2892754672 · doi:10.1177/1541931218621050

Intuitive Insights For Course Of Action Development

2018· article· en· W2892754672 on OpenAlexaffabout
Aren Hunter, Tania Randall, Heather Colbert

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsCreativityProcess managementValue (mathematics)Process (computing)Action (physics)Computer scienceOperational planningManagement scienceKnowledge managementEngineeringPsychologyBusinessMarketing

Abstract

fetched live from OpenAlex

Defence Research and Development Canada - Atlantic has been investigating ideas and tools to aid shipboard planning teams with course of action (COA) development. Considerable previous research on operational planning suggests that the process is not well-suited to shipboard planning. In light of the shortcomings of current planning methods, the PreMortem method was investigated as a methodology to aid shipboard planning teams in developing more intuitive and creative COAs. The aim of this research was to evaluate planning teams’ acceptance, ease of use and perceived value of the PreMortem as an addition to traditional decision matrix planning methods. The results suggest that the PreMortem method adds value in the form of COA creativity over traditional planning methods. The PreMortem method is a recommended addition to the current process.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.120
GPT teacher head0.365
Teacher spread0.245 · 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 designQualitative
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
Published2018
Admission routes2
Has abstractyes

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