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Record W2330049056 · doi:10.1057/9781137269850_7

Afterword: Fair Trade in a Boom Market

2013· book-chapter· en· W2330049056 on OpenAlexaff
Mark Hudson, Ian Hudson, Mara Fridell

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2013
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFair tradePovertyBoomDysfunctional familyEconomicsPound (networking)International tradeEconomic growthEngineering

Abstract

fetched live from OpenAlex

For a movement that seeks to improve the lives of Southern coffee producers, the coffee crisis in the early half of the 2000s provided a stark illustration of the inequities created by the international coffee market. Reports like Oxfam’s (2002) Mugged: Poverty in Your Cup highlighted the devastating impact of the price collapse on coffee-producing families with dramatic section headings like ‘families going hungry’ and ‘growing attractions of growing drugs.’ When the international price bottomed out at $0.48 per pound in 2003, the fair trade message about the dysfunctional nature of the coffee industry became especially germane in both the North and the South. In the North, the coffee crisis brought home the real problems of poverty created by the coffee industry, to which fair trade’s minimum price offered a concrete solution. In the South, the minimum price made fair trade cooperatives increasingly attractive purchasers as the conventional price collapsed.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.103
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0070.009
Open science0.0010.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.1030.024

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 head0.017
GPT teacher head0.226
Teacher spread0.209 · 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
Published2013
Admission routes1
Has abstractyes

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