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Record W9608164

THE SYDNEY AND BAGUIO CONFERENCES

2016· article· en· W9608164 on OpenAlexaboutno aff
Baguio Conferences, Nazir, Ahmad Ahmad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsCommonwealthCeylonPolitical sciencePoliticsEconomic growthGeographyEconomic historyHistoryAncient historyLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

The Sydney Conference was a conference of Commonwealth countries, while the Baguio Conference was a conference of the countries situated in South and Southeast Asia, which included some countries which are not member* of the Commonwealth of Nations. It was a mere coincidence that at both of these Conferences the number of participating countries amounted to seven. In the Sydney Conference, Australia, Canada, Ceylon, India, New Zealand, Pakistan and the United Kingdom participated, while in the Baguio Conference, in addition to the fout Commonwealth countries of Australia, Ceylon, India and Pakistan, three other countries, viz., the Philippines, Siam, and the United States of Indonesia, took part. Another important difference between these two Conferences lay in the fact that while the Sydney Conference concerned itself exclusively with economic matters pertaining especially to the development of the under-developed countries in the Commonwealth group, the Baguio Conference dealt not only With economic questions but also with cultural and, to some eient, political matters.

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)0.004
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.068
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0680.014

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 head0.048
GPT teacher head0.334
Teacher spread0.286 · 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
Published2016
Admission routes1
Has abstractyes

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