MétaCan
Menu
Back to cohort

The Mexican Experience of the NAPAPI Revision Process

2016· article· en· W2368347404 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueContexto Internacional · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsCarleton University
Fundersnot available
KeywordsNegotiationPandemicPlan (archaeology)Political sciencePublic administrationEconomic growthProcess (computing)Coronavirus disease 2019 (COVID-19)GeographyEconomicsInfectious disease (medical specialty)MedicineLaw

Abstract

fetched live from OpenAlex

In 2007, Mexico, the USA and Canada signed the North America Plan for Avian and Pandemic Influenza (NAPAPI). During the 2009 H1N1 pandemic, the plan was implemented for the first time. After the emergency, the three countries decided to review their response, and update the plan. This study analyses the trinational negotiations towards the amended NAPAPI of 2012. More specifically, it focuses on the intergovernmental synergies and intersectoral dynamics in Mexico's domestic policy-making process relevant to the negotiations. The general research questions guiding this analysis were: how do domestic intergovernmental processes and intersectoral dynamics in Mexico affect the crafting of foreign policy? And how does international cooperation affect the domestic public health agenda? The study seeks to answer these questions by examining the H1N1 pandemic, the challenges facing Mexico in the course of the pandemic, and its experience of NAPAPI. It also examines the domestic policy process in Mexico for revising this trinational plan.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.115
GPT teacher head0.526
Teacher spread0.411 · 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