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Record W6979799767

AFRICAN DEVELOPMENT AND GLOBAL GOVERNANCE: CANADIAN AND EUROPEAN CONTRIBUTIONS TO HUMAN DEVELOPMENT/SECURITY AT THE TURN OF THE CENTURY

2004· article· en· W6979799767 on OpenAlexaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsUnrestMistakeState (computer science)Human rightsCivil societyOut of africaGlobal recessionChina
DOInot available

Abstract

fetched live from OpenAlex

perspectives européenne et canadienne- Montréal, le 12 novembre 2001. ‘The new millennium has not blessed Africa. ’ (IISS 2001: 223) ‘Close to a fifth of the continent’s people now live in countries disrupted by wars and civil unrest that inflict enormous costs on these economies. ’ (ADB 2000: 23) ‘What needs to be recognized is that the African state is not failing as much as our understanding of the state. ’ (Dunn 2001b: 49) ‘…it is an enormous mistake to marginalize Africa…the continent exists at the center of various paradigms and discourses generally ignored by traditional IR. For example, Africa exists in the privileged center of global discourses on the environment, migration flows, biodiversity, ecology, gender, human security, land mines, development, NGOs, IFIs, and SAPs. While Africa may be marginal to the world’s legitimate trade, it is central to illegal global trade in drugs, arms, and ivory. ’ (Dunn 2001a: 3) ‘Expect a more African Africa in 1999. The continent will look to its own resources as it tries to fend off the effects of global recession and patch up its turbulent regional alliances. There is little choice – the bail-outs of Asia and Russia mean that the international agencies will be cutting back on Africa’s share

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.222
Threshold uncertainty score0.446

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0120.014
Scholarly communication0.0120.005
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.000

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 head0.009
GPT teacher head0.235
Teacher spread0.227 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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