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Record W4246180562 · doi:10.1080/03056244.2020.1792119

The African hero in Mozambican history: on assassinations and executions – Part II

2020· article· en· W4246180562 on OpenAlexaff
John S. Saul

Bibliographic record

VenueReview of African Political Economy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsYork University
Fundersnot available
KeywordsHEROPolitical scienceHistoryAncient historyArtLiterature

Abstract

fetched live from OpenAlex

SUMMARY Part I of ‘The African hero in Mozambican history’, published in issue 163, launched a discussion of the possible role of the individual in African history … both in general terms and in terms of understanding more precisely the implications of the assassination of Eduardo Mondlane for the further development of Mozambique. Now, in Part II, this essay similarly considers (in subsection 3) the assassination of Mondlane’s successor as leader of Frelimo (and the man who would later become the first president of a liberated Mozambique), Samora Machel. It remains focused on the broad theme of death and its impact on the history of Mozambique in subsection 4 that follows. But it now does so by reflecting upon the possible import of ‘execution as a mode of governance’, and specifically by re-examining Frelimo’s secret executions, sometime in the first decade of Mozambican independence, of Uriah Simango, his wife and a number of his colleagues, a group that had come to form the movement’s internal opposition when in exile in Tanzania in the 1960s. It suggests that these extremely secretive executions can best be seen as negative outcomes of the self-righteous vanguardism that has come to haunt Frelimo in power up to the present. Part II then concludes (in subsection 5) by examining a further series of deaths: the wave of mafia-style killings that, in this century (and beginning with the assassination of crusading journalist Carlos Cardoso in 2000), has come to be called ‘Mozambique’s quiet assassination epidemic’. How best, finally, to interpret such an unsavoury recent phenomenon as this grisly ‘epidemic’?

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.042
GPT teacher head0.288
Teacher spread0.246 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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