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Record W4306409770 · doi:10.15353/cfs-rcea.v9i3.586

The good, the bad, and the ugly of COP26: A conversation with two food sovereignty activists

2022· article· en· W4306409770 on OpenAlexafffundvenue
Jessie MacInnis, R. Michael Corbett, Annette Aurélie Desmarais

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Regina
FundersUniversity of AberdeenJames Hutton InstituteUniversity of Manitoba
KeywordsGrassrootsFood sovereigntyFood systemsPolitical scienceUnited Nations Framework Convention on Climate ChangePolitical economyNegotiationSocial movementAgricultureFood securitySociologyClimate changeLawPoliticsGeography

Abstract

fetched live from OpenAlex

The 26th UN Framework Convention on Climate Change (UNFCCC) COP (Conference of Parties) took place in Glasgow, Scotland in November 2021 amidst intersecting global crises. The rising number and intensity of unprecedented extreme weather events in many countries, increased knowledge about industrial agriculture’s significant emission contributions to the climate crisis, and the vulnerability of the global food system in the wake of COVID-19 shocks should have positioned food and agriculture as priority items on the agenda. Yet, agriculture and food systems played only a minor role in COP26 negotiations, and vaccine apartheid limited the presence of the food sovereignty movement and broader grassroots voices in Glasgow. Corporate co-optation and flagrant greenwashing via net zero and false solution narratives dominated, yielding watered-down outcomes instead of the bold actions needed to tackle the climate crisis. In this report from the field, two food sovereignty activists dissect the accessibility of the official COP26 spaces and demonstrate how the negotiations failed to meaningfully integrate grassroots demands related to ecologically and socially just food and agriculture policy. They also reflect on their experiences in civil society-led spaces that fostered social movement building outside the doors of the official UNFCCC conference. It was in these interactions that activists wove threads of hope across sectors, social groups, and movements seeking climate justice.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.194
Teacher spread0.174 · 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 teacher head, not a consensus.

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
Published2022
Admission routes3
Has abstractyes

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