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Record W4386470859 · doi:10.3138/jmvfh-2023-0016

Hazing in the military: A scoping review

2023· review· en· W4386470859 on OpenAlexvenueno aff
Charlotte Kröger, Nynke Venema, Eva van Baarle

Bibliographic record

VenueJournal of Military Veteran and Family Health · 2023
Typereview
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsnot available
Fundersnot available
KeywordsHumiliationHarmHarassmentMilitary personnelCriminologyPublic relationsPsychologySocial psychologyMental healthPolitical scienceLawPsychiatry

Abstract

fetched live from OpenAlex

LAY SUMMARY Initiation rituals have existed in the military for a very long time. The goal of these traditions is generally to introduce (new) military personnel to the organization, to learn about hierarchies, practices, and norms, and to make sure personnel are committed to and identify with the armed forces. However, hazing can also occur. Hazing refers to initiation activities that are abusive and include harassment and humiliation. These activities can cause severe mental and physical harm to the health and well-being of military personnel. Hazing can also negatively affect the functioning and effectiveness of individuals and entire units in times of peace and war. Many military organizations and scholars agree that hazing is dangerous and unethical. However, hazing still exists. This scoping review was conducted to gain more insight into what is known about hazing in the military, why it occurs, and what may be done to prevent it. Findings show that more research is needed, and military organizations may have to rethink their approaches to hazing if they want to prevent it and protect personnel from harm.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.853
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.181
GPT teacher head0.473
Teacher spread0.292 · 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 designOther design
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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