MétaCan
Menu
Back to cohort

Sounding a public health alarm: producing West Nile virus as a newly emerging infectious disease epidemic

2010· book-chapter· en· W2506834038 on OpenAlexaboutno aff
Maya Gislason

Bibliographic record

VenueAdvances in medical sociology · 2010
Typebook-chapter
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Public healthWest Nile virusPoliticsConstruct (python library)Power (physics)GovernmentalityDisciplineSociologyPublic relationsPolitical scienceEnvironmental ethicsSocial scienceBiologyVirologyMedicineComputer scienceLawVirus

Abstract

fetched live from OpenAlex

Purpose – The purpose of this chapter is to illustrate that when produced through relations of power, West Nile virus (WNV), as it exists on the Public Health Agency of Canada's (PHAC) website, is an effect of the kinds of knowledge, techniques of power, and disciplinary apparatuses that operate on the website and in society.Methodology/approach – The approach used in the in-depth research project which informs this chapter is an elaboration of Michel Foucault's work on relations of power which offers an effective way of studying the PHAC's website as a collection of authoritative knowledges and as a product of a set of systems, structures, and processes which have helped to assemble and distribute knowledge about WNV.Findings – The findings discussed in this chapter offer a critical reading of the PHAC's overall production of WNV, focusing particularly on its initial emergence starting in 2001. Cumulatively, this chapter argues that myriad relations of power have produced WNV as a bio-socio-administrative construct.Contribution to the field – This research illustrates one way that Foucault's theories of power can be used to conduct a critical analysis of both the discursive and material dimensions of the production of contemporary public health issues. Such an approach is useful to scholars who wish to place the emergence of a disease phenomenon within political, institutional, economic, cultural, and social relations of power; thereby drawing attention to how specific spaces, places, individuals, and institutions contribute to the production of contemporary health alarms.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.036
GPT teacher head0.400
Teacher spread0.363 · 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 designNot applicable
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

Citations3
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in medical sociologySame topicViral Infections and Outbreaks ResearchFrench-language works237,207