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Record W7009780571

Expanding the shield and facing the challenges: integration of women in Botswana Defense Force

2003· dissertation· en· W7009780571 on OpenAlexaboutno aff

Bibliographic record

VenueCalhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School) · 2003
Typedissertation
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)NavyPoliticsScope (computer science)DoorsConvention
DOInot available

Abstract

fetched live from OpenAlex

Botswana remains one of the few countries in the world (and the only country in the South African Development Community (SADC)) where females are legally prohibited from joining the military. The political and social pressure in the 21st century has softened the opposition of many influential politicians and bureaucrats to calls for inclusionary statutes. This thesis examines the possibility of opening doors to women in the Botswana Defence Force (BDF). It examines the policies, programs and scope of the role of women in the US armed services, Canadian Forces (CF) and the South African National Defence Forces (SANDF). It identifies from these highlights the most effective approaches to recruiting, training, and retaining women in the BDF once the opportunity is availed. In particular, this thesis examines the Six critical policies of the US armed services and the CF, namely, sexual harassment, fraternization, employment of women, equal opportunity, pregnancy, and family care. This thesis considers the lessons from these for the BDF. Two critical cases of sexual harassment, (the 1991 Tailhook Navy and Marine Corps Convention and the 1996 US Army's Aberdeen Proving Ground incident), are highlighted in the study. The leading recommendations emphasize the need for the BDF to take the steps required to evoke a cultural change to affect the attitudes and perceptions of personnel and to examine how the SANDF administers its policies as they pertain to women.

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)0.006
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.003
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 head0.043
GPT teacher head0.304
Teacher spread0.261 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

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