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Record W2140876101 · doi:10.1068/c12r

Shifts in Environmental Governance in Canada: How are Citizen Environment Groups to Respond?

2004· article· en· W2140876101 on OpenAlexaffabout
Beth Savan, Christopher Gore, Alexis Morgan

Bibliographic record

VenueEnvironment and Planning C Government and Policy · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStewardship (theology)Government (linguistics)Citizen scienceEnvironmental governanceCommitCorporate governancePublic relationsCollaborative governanceEnforcementPublic administrationPublic participationAgency (philosophy)Work (physics)Function (biology)Local governmentEnvironmental stewardshipBusinessPolitical scienceEnvironmental resource managementSociologyEngineeringLawPolitics

Abstract

fetched live from OpenAlex

During a period when the relationship between government agencies and citizen environmental monitoring activities is shifting, this paper examines the nature of the relationship between government and citizen stewardship, by describing some citizen monitoring initiatives in Ontario, Canada. The authors begin by characterizing the changing nature of environmental governance by focusing specifically on the complexity surrounding the relationship between government administrative reform, demands for improved and increased environmental monitoring, and the role and function of citizens in monitoring activities. Then, building on the experience of one citizen-based environmental organization, Citizens' Environment Watch, as well as on two other local examples, they document possible new forms of collaboration that retain government responsibility while building community authority, knowledge, and power to improve local environmental quality. Suggested remedies include a recognition and public articulation of what government should do and what it does not do. In the case of the latter, government should commit to provide support for citizen monitoring efforts, and to heed the work of volunteer monitors. Finally, government needs to follow up on concerns about degraded environmental quality raised by local citizens through strong investigative and enforcement responses.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.865

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.266
Teacher spread0.247 · 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 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

Citations35
Published2004
Admission routes2
Has abstractyes

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