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Record W4416947461 · doi:10.2478/cmc-2025-0021

Duhovna Oskrba V Oboroženih Silah V Dobi Avtentičnosti

2025· article· en· W4416947461 on OpenAlexaboutno aff
Matjaž Muršič Klenar

Bibliographic record

VenueCONTEMPORARY MILITARY CHALLENGES · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligious, Philosophical, and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)Field (mathematics)Work (physics)Social careFragmentation (computing)

Abstract

fetched live from OpenAlex

Abstract The article discusses the functioning of Spiritual Care in the modern Armed Forces and connects them with the change in social outlook and individual action in the second half of the 20th century. The time of the second half of the 20th century is defined by the Canadian philosopher Charles Taylor as an Age of Authenticity, which is characterized by the individual expressing his personality, life path and goals in his own unique and own way. This brings fragmentation in the field of views, the number of which is greatly increasing. Members of the Armed Forces are also heirs of this era, which is why it is also necessary to adapt Spiritual Care in the Modern Armed Forces, primarily in terms of an individual approach and a wider range of work and tasks that encompass comprehensive care for members.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.084
GPT teacher head0.350
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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