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Record W7071195817

Statement by Dr. K.Y. Amoako United Nations Under Secretary General and Executive Secretary of the ECA: South African development community conference

2018· other· en· W7071195817 on OpenAlexaboutno aff

Bibliographic record

VenueEconomic Commission for Africa Knowledge Repository (Economic Commission for Africa) · 2018
Typeother
Languageen
FieldChemistry
TopicChemistry and Stereochemistry Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Secretary generalPopulationExecutive committeeQuarter (Canadian coin)Economic communityPoliticsGeneral assemblyDiscretion
DOInot available

Abstract

fetched live from OpenAlex

Statement BY Dr. K. Y. Amoako United Nations Under-Secretary General and Executive Secretary of ECA at the south African Development Community Conference (SADC). Dr. Amoako, on his remarks highlighted that ECA's own research results presented in the 1999 Report on Africa confirms that fully 70 percent of our countries in 1998 enjoyed real economic growth in excess of population growth ant that more than a third of these countries last year recorded growth of 5 percent and above. The continent's economic recovery, while not solid enough, has at least reached the point where policy discretion can be brought to bear on this core topic. HIV/AIDS was a factor for the development of many of our countries even 10 years ago, but was not spoken about in central policy circles in many of the countries affected. The impact of HIVAIDS households, economic sectors and society in general are devastating and well known. Regional integration is as much a political process as it is an economic phenomenon. The history of integration runs parallel to a history of building strong multistate institutions. In the way forward, SADC will still face several challenges. In particular, one of those will be to streamline the relationships between member states in the context of SADC, COMESA and SACU.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.124
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.037
GPT teacher head0.264
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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

Explore more

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