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Record W2597976357 · doi:10.1177/2158244017697361

Social Construction of Cyanobacteria Blooms in Quebec

2017· article· en· W2597976357 on OpenAlexaffabout
Geneviève Brisson, Karine Dubé, Sabrina Doyon, Benoît Lévesque

Bibliographic record

VenueSAGE Open · 2017
Typearticle
Languageen
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsUniversité LavalInstitut National de Santé Publique du QuébecUniversité du Québec à Rimouski
Fundersnot available
KeywordsSociocultural evolutionPerspective (graphical)EthnographyPublic healthPublic relationsCompliance (psychology)PoliticsPolitical ecologyPolitical scienceSociologyEcologyEnvironmental resource managementEnvironmental planningGeographySocial psychologyPsychologyEnvironmental science

Abstract

fetched live from OpenAlex

Using a political ecology perspective, this research examines the social issues of cyanobacteria. In Québec (Canada), public health officials issue warnings concerning water-related activities and water consumption. An ethnographic study was undertaken with the aim of gaining a better understanding of the attitudes of citizens toward cyanobacteria and public health measures. It enabled us to identify both the meanings attached to this phenomenon and the other driving forces behind the attitudes and, in particular, toward compliance with measures prescribed by the authorities. Focus groups and semidirected individual interviews involving several groups of social actors were conducted in 2009 and 2010 on three communities. This study points to the importance of considering natural phenomena such as the proliferation of cyanobacteria as sociocultural constructs, because this approach can be applied to address the impacts of such phenomena from a different perspective and therefore improve management practices to reduce these impacts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.118
GPT teacher head0.507
Teacher spread0.389 · 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 designObservational
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

Citations10
Published2017
Admission routes2
Has abstractyes

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