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Record W7036996923

Decolonisation and the United Nations: A Study of Shifting Intervention in the Congo and Southern Rhodesia

2019· dissertation· en· W7036996923 on OpenAlexaboutno aff

Bibliographic record

VenueLeiden Repository (Leiden University) · 2019
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDecolonizationPeacekeepingIntervention (counseling)Government (linguistics)ScholarshipWhite (mutation)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

The United Nations did not deploy a peacekeeping mission in Africa for a quarter of a century following its contentious intervention in the Congo in the early 1960s. Due to this lack of military intervention, much of the existing scholarship has overlooked the organisation’s influence in the process of African decolonisation during the Cold War. In contrast, this thesis re-examines the relationship between United Nations intervention and African decolonisation through the case studies of the Congo and Southern Rhodesia between 1960 and 1980. During this period, the United Nations explored alternative means of diplomatic and economic intervention in Africa, examined in this thesis through the organisation’s relationship with the white minority government of Southern Rhodesia. This was not a period of non-intervention, but rather a time of complex reconfiguration for the organisation concerning its future role within the process of African decolonisation.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.222
Threshold uncertainty score0.441

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.007
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.217
Teacher spread0.201 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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