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Record W7103375686

Redefining CRM

2005· article· W7103375686 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Bioresource Management · 2005
Typearticle
Language
FieldPsychology
TopicHuman-Automation Interaction and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsCrew resource managementCrewResource (disambiguation)Maritime industryLine managementQuarter (Canadian coin)Competitive advantage
DOInot available

Abstract

fetched live from OpenAlex

The recent revision (120-51E, dated 1/22/04) to the Crew Resource Management Training Advisory Circular failed to provide a specific definition of CRM. This void is an issue with those who agree with Montaigne when he observed “No wind favors the sailing ship without a destined port.” Since its inception over twenty five years ago, CRM has undergone considerable evolution and the industry now finds itself in the seventh or eighth “Generation” of CRM training. Interestingly, in the very first Advisory Circular (120-51A) the following statement was made: “The essence of CRM training is to reduce error in the cockpit.” In spite of that specific focus, during the last quarter of a century, CRM training has been whatever the program developer wanted it to be and the result has included such diverse subjects as Post Traumatic Stress, Security, Unruly Passengers, Scheduling Issues, and Uniform Codes. The original definition of CRM as “The effective utilization of all available resources including liveware, hardware and software, to achieve safe and efficient flight operations.” was a worthy “goal” which unfortunately was more theoretical than practical; and no doubt contributed to why the current AC has no specific definition. Safety and efficiency do not always go hand in hand and therein lies the rub. It is time the industry put the practical side of the issue first and then back that up with theory. With that in mind, I make the observation that the industry has failed abysmally to take advantage of the huge resource of line pilot experience. Line pilots who achieves tens of thousands of hours accident and incident free has developed their own “bag of tricks” to stay out of trouble. Academicians, management pilots, and even union members, do NOT adequately represent the line pilot. With that in mind, I offer the following NEW and specific definition of CRM: “Cockpit Resource Management is the comprehensive utilization of all available resources including people, equipment and procedures, to attempt to get the job done correctly while staying out of trouble.” There are an infinite number of ways to do this and each annual recurrent training should address some of those techniques. GAIN, ASAP, Line Pilot Reports, FAA violations, Accident and Incident Reports, and the ASRS reporting system are all excellent starting point to gather these techniques. Too much of that data is simply NOT making it to the cockpit. The industry must come to grips with the fact that with each new technological improvement, each new aircraft design and each now operational improvement, more challenges are being faced by the line pilot and CRM training is one way to aid the line pilot in coping with these challenges. Consequently, CRM training remains a journey and NOT a destination.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0280.003

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 head0.022
GPT teacher head0.335
Teacher spread0.313 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2005
Admission routes1
Has abstractyes

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