MétaCan
Menu
← Back to cohort
Record W7099860834

Crossroads at Cancun: What Direction for Development? Focus on: Democracy at the WTO

2003· article· en· W7099860834 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTransparency (behavior)Developing countryNegotiationAccountabilityDemocracyWorld tradeLegislatureSanctionsLeast Developed Countries
DOInot available

Abstract

fetched live from OpenAlex

meeting will reveal if the commitment to address the needs of developing countries in a new round of multilateral trade negotiations is closer to truth or rhetoric. In the lead up to the meeting, the Canadian Council for International Co-operation (CCIC) is highlighting five key areas for action. In this case study, CCIC calls for making the WTO more respectful, democratic and transparent. In theory, the World Trade Organization’s one-country, one-vote system should give developing countries – which are in the majority – a lot of clout. In practice, however, the major players meet privately in backrooms to hammer out informal agreements. Photo: AP/Wide World Photos WTO demonstration in Seattle Developing country trade negotiators, as well as elected members of legislatures and civil society organizations from all WTO member countries, are being kept in the dark. This lack of transparency and accountability in decisionmaking is contributing to the WTO’s crisis of legitimacy, a crisis that spilled out onto the streets of Seattle in 1999. Developing country negotiators struggle to be heard The WTO promotes itself as a rules-based organization. Yet when developing countries try to set "fair and equitable" trade rules, they are rebuffed. Rich countries either flout rules or tilt them in their favour. "We are simply asking for fair and equitable rules that would take into account our development needs and allow us to participate fully in the trade system. But instead we risk being pressured once again into accepting rules we don’t need and can’t afford, " says Ambassador

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0100.010
Open science0.0010.005
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0520.006

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 head0.046
GPT teacher head0.336
Teacher spread0.290 · 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 designTheoretical or conceptual
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
Published2003
Admission routes1
Has abstractyes

Explore more

Same topicEarthquake and Disaster Impact Studies→French-language works237,207→