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Record W4403380354 · doi:10.1080/03057070.2024.2401735

‘It took courage to die in Angola’: Umkhonto we Sizwe’s War versus UNITA, 1975–89

2024· article· en· W4403380354 on OpenAlexaff
Daniel L. Douek

Bibliographic record

VenueJournal of Southern African Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsCourageDie (integrated circuit)Political scienceSociologyLaw

Abstract

fetched live from OpenAlex

Umkhonto we Sizwe (MK), the armed wing of the African National Congress, is reputed to have been a largely ineffective guerrilla army which hardly challenged the apartheid war machine. Instead, this army in exile was mostly confined to its bases in post-independence Angola, thousands of kilometres from the land they sought to liberate. While in Angola, MK forces were largely kept on the defensive as they were compelled to join the Angolan government in its war against the armed group UNITA, which received extensive support from the South African apartheid regime and the United States. Yet within this context, on the periphery of the Cold War and the anti-apartheid struggle, MK managed a degree of battlefield success against UNITA, thus helping to pave the way for negotiations with South Africa. Although constrained by structural factors, MK nevertheless managed to assert an agency that has largely gone untold in the history of southern Africa’s national liberation movements. This article reinterprets MK’s military history by putting its Angolan battles at its heart. Relying on oral testimonies and memoirs of former MK combatants as well as scholarly sources, I argue that MK’s containment of UNITA offensives in northern and eastern Angola has been overlooked as an important battlefield contribution that helped Angola’s MPLA government to endure the apartheid regime’s onslaught and shaped the Cold War endgame in southern Africa. Moreover, combat narratives from Angola have proved pivotal in shaping the memories and identities of former MK personnel, even as contemporary South African elites have deployed these narratives for their own political ends.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.055
GPT teacher head0.336
Teacher spread0.281 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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