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Record W2986781035 · doi:10.15171/ijhpm.2019.102

Towards Critical Analysis of the Political Determinants of Health Comment on "How Neoliberalism Is Shaping the Supply of Unhealthy Commodities and What This Means for NCD Prevention"

2019· letter· en· W2986781035 on OpenAlexaff
Julia Smith

Bibliographic record

VenueInternational Journal of Health Policy and Management · 2019
Typeletter
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNeoliberalism (international relations)ScholarshipPoliticsCorporate governancePolitical economyPolitical scienceSociologyEconomicsEconomic growth

Abstract

fetched live from OpenAlex

The recent perspective article "How Neoliberalism Is Shaping the Supply of Unhealthy Commodities and What This Means for NCD Prevention," by Lencucha and Throw, interrogates how the dominant neoliberal paradigm restricts meaningful policy action to prevent non-communicable diseases (NCDs). It contributes an NCD perspective to the existing literature on neoliberalism and health, which to date has been dominated by a focus on HIV, gender and trade agreements. It further advances the emerging commercial determinants of health (CDoH) scholarship by calling for more nuanced analysis of how the governance of both health and the economy facilitates corporate influence in policy-making. In political science terms, Lencucha and Throw are calling for greater structural analysis. However, their focus on the pragmatic, as opposed to political, aspects of neoliberalism reflects a hesitancy within health scholarship to engage in political analysis. This depoliticization of health serves neoliberal interests by delegitimizing critical questions about who sustains and benefits from current institutional norms. Lencucha and Throw's call for greater interrogation of the structures of neoliberalism forms a basis from which to advance analysis of the political determinants of health.

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)0.003
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.248
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.097
GPT teacher head0.414
Teacher spread0.317 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations21
Published2019
Admission routes1
Has abstractyes

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