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Record W3167024220 · doi:10.5965/2175180313322021e0104

The Creation and Early Development of the Zimbabwe Defence Forces (ZDF) 1980-93

2021· article· en· W3167024220 on OpenAlexaff
Timothy J. Stapleton

Bibliographic record

VenueRevista Tempo e Argumento · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPoliticsOpposition (politics)Independence (probability theory)Political scienceContext (archaeology)Government (linguistics)Political economyDevelopment economicsLawSociologyHistoryEconomics

Abstract

fetched live from OpenAlex

Given the 2017 coup in Zimbabwe, a rare event in Southern Africa but sadly common in the rest of the continent, this paper discusses the beginnings of the politicization of the Zimbabwe Defence Forces (ZDF) during the 1980s. At the end of the country’s war for independence in 1980, the ZDF formed as an amalgamation of former Rhodesian state military personnel and insurgents from the liberation movements of the Zimbabwe African People’s Union (ZAPU) and the Zimbabwe African National Union (ZANU). Personnel from ZANU came to dominate Zimbabwe’s new military given the lack of a specific agreement over the integration process, their numerical superiority, and ZANU’s electoral success that gave it political power. During the ZDF integration exercise of the early 1980s, British advisors attempted to create a Western-style force but acted pragmatically while North Korean instructors helped create an overtly ZANU affiliated brigade and party militia. In addition, South African destabilization and the rapid departure of former Rhodesian officers gave way to the accelerated promotion of former insurgents mostly affiliated with the ZANU government. Lastly, the further ZANU-ization of the ZDF occurred within the context of operations in southwestern Zimbabwe where it eliminated ZAPU as an opposition political movement and committed atrocities, and in Mozambique where Zimbabwean troops cooperated with allies from overtly politicized armies of neighboring states

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.306
Teacher spread0.286 · 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 designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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