CBC Canadian Broadcasting Corporation
Bibliographic record
Abstract
ABSTRACT: This paper provides and analysis of the fair trade network in the North through a comparative assessment of two distinctly different fair trade certified roasters: Planet Bean, a worker-owned cooperative in Guelph, Ontario; and Starbucks Coffee Company, the world’s largest specialty roaster The former is a small alternative trade organization that sells 100 percent of its beans fair trade and is devoted to fair trade standards in the North through its cooperative project. The latter is a giant corporation that has made a relatively minor commitment to fair trade, which it views as only one part of its corporate social responsibility program, and has consistently fought against fair trade standards—such as unionization—being applied to its Northern employees. The two organizations are assessed on the basis of their impact on the moral mission, understanding of international solidarity, and long term prospects of the network. It is determined that the objectives of Planet Bean are much more compatible with the moral mission of fair trade, even while the network has become increasingly dependent on the participation of corporations like Starbucks, raising difficult prospects for the future of
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.628 | 0.298 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".