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Voluntary Environmental Programs: A Canadian Perspective

2008· article· en· W2136916265 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolicy Studies Journal · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsYork University
Fundersnot available
KeywordsScope (computer science)Perspective (graphical)Government (linguistics)BusinessPoliticsTurnoverPublic economicsCivil societyEnvironmental policyPublic relationsPolitical scienceEconomicsEnvironmental resource managementManagement

Abstract

fetched live from OpenAlex

In light of the increasing number of environmental problems necessitating government's attention and the limited scope and budget for addressing these issues, environmental protection has, and continues to evolve as more flexible approaches to regulation are being sought and embraced by governments throughout the world. Voluntary environmental programs (VEPs) are a pragmatic response by both governments and business to find a more flexible way to protect the environment. We discuss the theoretical motivations for firms to adopt VEPs in general and examine Canada's experience with three types of VEPs, public, negotiated, and unilateral agreements, to assess whether the motivating factors are present. We then argue that the institutional, political, and regulatory framework governing environmental policy in Canada does not provide the conditions necessary to effectively promote superior corporate environmental protection across jurisdictions. Despite the lack of government‐directed VEPs, there has been considerable interest by both the private sector and civil society who have taken the lead by developing unilateral agreements. Using existing literature and our current research, we examine the factors that motivate firms in Canada to participate in unilateral agreements and the characteristics of firms with the higher environmental performance and suggest some policy implications.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
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 studies0.0020.000
Scholarly communication0.0000.001
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 head0.068
GPT teacher head0.284
Teacher spread0.216 · 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