Global Trade/Global Poverty NGO Perspectives on Key Challenges for Canada Governance and Decision Making at the WTO
Bibliographic record
Abstract
Canadian Council for International Co-operation Trade and Poverty Seriesin common is an initiative that focuses attention and action on the elimination of poverty. Over 100 organizations, working on the frontlines of social justice, humanitarian aid, economic and democratic development — both in Canada and in the developing world — have joined together under the in common banner. We share the conviction that ending poverty is a moral imperative and a practical possibility. We are committed to making this goal a public and a political priority and to mobilizing the actions necessary to make a poverty-free world a reality. in common is coordinated by the Canadian Council for International Co-operation (CCIC). The Canadian Council for International Co-operation (CCIC) is a coalition of Canadian organizations who seek to change the course of human development in ways that favour social and economic equity, democratic participation, environmental integrity and respect for human rights.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.018 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".