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Record W2229655100 · doi:10.20381/ruor-19335

The Weapons Policy of the Canadian Forces Chaplain Branch: A Multi-Theoretical Analysis

2009· dissertation· en· W2229655100 on OpenAlexaboutno aff
Kevin Edward Klein

Bibliographic record

VenueuO Research (University of Ottawa) · 2009
Typedissertation
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceOperations researchMathematics

Abstract

fetched live from OpenAlex

Military chaplains of all countries are vehemently debating the issue of chaplains bearing arms. On both sides of the debate, various arguments are advanced which get to the very nature of the chaplain's role as non-combatant and minister of religion. However, there is not a consensus between military chaplaincies or even within military chaplaincies whether or not chaplains ought to carry weapons for their own protection or the protection of others especially in the present security environment. Within the Canadian Forces chaplains are expressly forbidden from ever bearing or using personal weapons in combat operations. This thesis analyzes the question of chaplains bearing and using personal weapons from an ethical standpoint. Three ethical views will be explored: J.J.C Smart's act utilitarianism, Alasdair Macintyre's virtue ethics, and Alan Gewirth's ethical rationalism. By using these three meta-ethical perspectives, the dialogue on chaplains bearing arms within the Canadian Forces can be advanced and policies re-evaluated.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.204
Threshold uncertainty score0.924

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.004
Science and technology studies0.0170.010
Scholarly communication0.0080.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.033
GPT teacher head0.359
Teacher spread0.326 · 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.

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
Published2009
Admission routes1
Has abstractyes

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Same venueuO Research (University of Ottawa)Same topicAmerican Constitutional Law and PoliticsFrench-language works237,207