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Record W6948592199 · doi:10.5255/ukda-sn-851376

Combat, Cohesion and Gender

2014· dataset· en· W6948592199 on OpenAlexaboutno aff

Bibliographic record

VenueVocBench (University of Rome Tor Vergata) · 2014
Typedataset
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsCohesion (chemistry)Context (archaeology)Qualitative researchTypology

Abstract

fetched live from OpenAlex

The data collection involved three methods a) Archival research: defence policy, military doctrine, memoirs, academic commentary b) Interviews: 39 Male soldiers and 17 female soldiers were formally interviewed as part of this research project. c) Fieldwork observation: 40 days were spend observing training in France, Germany, UK, Canada and the US. During the course of this fieldwork, 46 informants were contacted whose comments were recorded in field notes and used in the research. Due to the confidentiality assured to interviewees and informants and the fact that some of the material discussed in the interviews/fieldwork was classified it has been impossible to share the fieldnotes/interviews. However, a record of the key points and data has been recorded in the EOA report for this grant and is disseminated through the publications associated with this grant. Can women be infantry soldiers? Combat is one of the most extreme forms of human activities and throughout human history it has been almost exclusively a masculine domain. This research addresses this important and potentially historic issue of the increasingly active participation of women in war. In the past, women's exclusion from the infantry has typically been justified by reference to female physiology and their presumed effects on cohesion among the male soldiers. Females were seen to threaten the combat performance of male troops. Physical barriers still remain for women but with the professionalisation of the armed forces and the recent pressures of operations in Afghanistan, female participation in the army and on operations has been increasingly accepted and even normalised. Canada and Denmark now allow women in the infantry and, while the UK and US still maintain their bans on females in the infantry, female British and American soldiers have increasingly served on the front line in combat situations. Through documentary, fieldwork and interview research with the armies of Canada, Denmark, Germany, France, the UK and the US, this research seeks to explore the possibilities and limits of women's participation in the infantry.<br />&nbsp;

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.147
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1490.002

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 head0.205
Teacher spread0.183 · 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
GenreDataset

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueVocBench (University of Rome Tor Vergata)Same topicSpecies Distribution and Climate ChangeFrench-language works237,207