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Record W1907346837 · doi:10.1111/cag.12198

Understanding emerging environmental health risks: A framework for responding to the unknown

2015· article· en· W1907346837 on OpenAlex
Daniel W. Harrington, Susan J. Elliott

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of WaterlooQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaFood Allergy Canada
KeywordsRisk governanceContext (archaeology)Corporate governancePublic healthRisk managementUncertaintyNatural hazardPolitical scienceEnvironmental ethicsBusinessEnvironmental planningGeographyMedicine

Abstract

fetched live from OpenAlex

Society faces risks, hazards, and crises on a seemingly daily basis. This is not new; indeed, pre‐modern societies were subjected to natural hazards that could be attributed to fate (e.g., natural disasters), and human‐made hazards considered manageable. However, late‐modern society is increasingly exposed to risks that are products of the modernization process itself (e.g., health impacts of climate change) emerging from broad changes in human‐environment interactions. We typically have insufficient or incomplete scientific knowledge to make calculated governance decisions that protect the public and our economies from these risks. Yet, a governance response is dictated. Understanding and anticipating public perceptions of emerging risks, therefore, has clear implications from both risk management and communication perspectives. Furthermore, it is essential that a response takes account of the context within which the risk is occurring. This paper describes the development of a place‐based conceptual framework for characterizing public response to emerging environmental health risks with the goal of informing governance responses. A worked example is provided through the application of the framework to the apparent epidemic of food allergies in Canada. Despite some gaps in available data, the framework appears robust and exhibits the potential to contribute to debates and decision‐making around risk governance. Comprendre les risques environnementaux émergents pour la santé : un cadre pour réagir face à l'inconnu Résumé La société fait face quasi quotidiennement à des risques, dangers et crises. Ceci est loin d'être nouveau; en effet, les sociétés prémodernes étaient confrontées, d'une part, à des risques naturels (par exemple, des catastrophes naturelles) et croyaient être victimes de la fatalité et, d'autre part, à des risques anthropiques qu'elles croyaient pouvoir maîtriser. Toutefois, le degré d'exposition aux risques augmente pour la société moderne avancée, ces derniers étant dérivés du processus de modernisation (par exemple, les impacts sanitaires des changements climatiques) qui origine de changements majeurs dans les interactions entre l'humain et l'environnement. Les bases de connaissances scientifiques disponibles présentement sont généralement embryonnaires ou insuffisantes pour prendre des décisions éclairées de gouvernance afin de soustraire le public et nos économies à ces risques. Ainsi, des progrès de gouvernance s'imposent. Comprendre et anticiper les perceptions que le public se fait des nouveaux risques entraîne, par conséquent, des répercussions à la fois sur les modes de gestion des risques et sur la communication. En outre, il est essentiel de réagir en tenant compte du contexte dans lequel se produit le risque. Cet article retrace l'élaboration d'un cadre conceptuel fondé sur le lieu et visant à caractériser la réaction du public face aux nouveaux risques de santé environnementale afin d'éclairer les réactions de gouvernance. Un exemple pratique utilise ce cadre dans l'épidémie apparente d'allergies alimentaires au Canada. Malgré quelques lacunes dans les données disponibles, le cadre semble robuste et est susceptible de contribuer aux débats et à la prise de décision en matière de gouvernance des risques.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.006
Science and technology studies0.0040.001
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 head0.092
GPT teacher head0.315
Teacher spread0.223 · 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