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Record W3199446100 · doi:10.2478/jms-2021-0007

Advanced education for NCMs’ professional career development: a conclusive experience?

2021· article· en· W3199446100 on OpenAlex
Daniel Lagacé-Roy, Alena Mondelli, Carl Jacob

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Military Studies · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversity of OttawaRoyal Canadian NavyRoyal Military College of Canada
Fundersnot available
KeywordsCareer developmentProfessional developmentMedical educationPsychologyMedicine

Abstract

fetched live from OpenAlex

Abstract The purpose of this article is to present the results of a research which assessed whether the Knowledge Acquisition Programme and the Non-Commissioned Member Executive Professional Development Programme contributed to the Non-Commissioned Members’ effectiveness as senior leaders in the Profession of Arms within the Canadian Armed Forces. Thirty-seven Programme graduates from 2006 to 2015 received a questionnaire containing seven closed-ended general information questions and twelve open-ended programme/course specific questions. Seventeen graduates responded to the questionnaire. Manual coding was used to identify main themes and sub-themes. The research findings determined that both Programmes contributed to the effectiveness of senior leaders in the Profession of Arms within the Canadian Armed Forces. However, some caveats were expressed, and recommendations brought forward to enhance the Programme and to improve its future deliveries.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.248
GPT teacher head0.543
Teacher spread0.295 · 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