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Record W2285577732

Punching above our weight : SAWEF

2012· article· en· W2285577732 on OpenAlexaboutno aff
Margaret Catley‐Carlson

Bibliographic record

VenueWithout Prejudice · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsGlobeGeneral partnershipNexus (standard)Political scienceOrder (exchange)Library scienceMedia studiesEconomic historyManagementSociologyLawHistoryEngineeringBusinessEconomicsMedicine
DOInot available

Abstract

fetched live from OpenAlex

The 2nd South African Water, Energy and Food forum was held in Johannesburg on April 18 and 19. It was sponsored by heavyweight firms, Anglo American, Eskom, Exarro and Nedbank and was supported by the US Embassy and conceived and managed by the publishers, Gleason Publications, in partnership with Touchstone Resources. This year the Forum central thesis was the Mega-Nexus, a term coined originally at the World Economic Forum, and which neatly encapsulates the overlapping relationship between these three elements so critical to the modern world. The keynote speaker was Maggie Catley-Carlson, a former Canadian minister and diplomat, a holder of the Order of Canada, and one of the most respected contributors to high level debate among water scientists around the globe. The article which follows is her report back to various institutions and readers will note that she describes the South African initiative as being in the forefront of the international discussion.

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)0.008
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.004
Scholarly communication0.0100.012
Open science0.0010.004
Research integrity0.0050.013
Insufficient payload (model declined to judge)0.0490.016

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 head0.025
GPT teacher head0.317
Teacher spread0.292 · 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
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
Published2012
Admission routes1
Has abstractyes

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