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Record W2748826504 · doi:10.1111/ropr.12259

The Role of Scientific Excellence in the Changing Meaning of Maize in Mexico

2017· article· en· W2748826504 on OpenAlex
Libertad Castro Colina, Éric Montpetit

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReview of Policy Research · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsExcellenceMeaning (existential)TRACE (psycholinguistics)Government (linguistics)SociologyPolitical scienceEnvironmental ethicsPerspective (graphical)Social sciencePublic administrationEpistemologyLawLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract Making policy is giving a meaning to objects. This perspective on policy making gained importance in the 1990s with the emergence of discursive approaches. In this article, we use the concepts of Hajer's discourse coalition approach to shed light on the evolving meaning of maize in Mexican society. Specifically, we trace a parallel between the evolution of biotechnology policy and discourses on maize over a 25‐year period. The article argues that until recently, the protection against biotechnological manipulations enjoyed by maize has been bolstered by a discourse granting the plant a special status in the country's history. However, the emergence of a new discourse grounded on the practice of scientific excellence is now challenging the old perspectives, and also finding support among government officials. As a result, the Mexican policies granting maize special protection is changing, and this policy change will likely trigger changes in the symbolic meaning of maize.

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.

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)0.013
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.118
GPT teacher head0.409
Teacher spread0.291 · 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