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Record W1514081102 · doi:10.21971/p7zp4d

Uncovering the Reality of State Violence in Western Zimbabwe, 1982-1987

2008· article· en· W1514081102 on OpenAlexvenueno aff
Maxwell Zhira

Bibliographic record

VenueCrossing boundaries · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Government (linguistics)PoliticsPower (physics)Political scienceState securitySubject (documents)Human rightsLawCriminologySociology

Abstract

fetched live from OpenAlex

The Zimbabwean slate waged a sustained terror campaign in the southern and western parts of the country from 1982 to 1987. An estimated twenty thousand men, women, and children died during the campaign. Most victims were murdered by state security forces, and others succumbed to conditions of disease and deprivation. The origins, nature, and impact of this conflict are the subject of considerable contention, particularly between analysts, human rights activists, and the government of President Robert Mugabe. Official inquiries into the conduct of the state and its agents have had difficulty gaining access to relevant records, and the government has repeatedly denounced the findings of independent investigations as slanderous. The terror operation waged in Matebeleland and the Midlands provinces can be used as evidence to argue that the government of President Mugabe from early on in its rule developed a tradition of using violence and intolerance as a tool for consolidating political power.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.503

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.348
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2008
Admission routes1
Has abstractyes

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