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Record W4385871599 · doi:10.59962/9780774851954-002

Preface

2007· book-chapter· en· W4385871599 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This book has three purposes: to provide an accurate assessment of the effectiveness of Canadian environmental laws and policies; to examine the reasons for Canada's progress (or lack thereof) in untangling the Gordian knot of environmental challenges; and perhaps most important, to provide some constructive guidance on the changes to laws and policies needed for Canada to become a global leader in the quest for a sustainable future.Accordingly, the book has three parts -an examination, a diagnosis, and a prescription -like the three stages a doctor goes through when a patient comes in for a check-up.Part One, the examination, begins with an assessment of Canada's overall environmental record and identifies a gap between Canadian values and Canadian actions on a range of key environmental issues.Part One then examines the Canadian laws and policies, both federal and provincial, that are intended to protect water, air, land, and biodiversity.A concerted effort is made to go beyond analyzing the strengths and weaknesses of laws and policies on paper, to explore the vital question of on-the-ground effectiveness.Too often, environmental laws are viewed in an analytical vacuum, without reference to their consequences in the real world.Are Canadian governments creating effective environmental laws and policies?Are these laws and policies being implemented and enforced?Are health and environmental objectives being met?The balance of evidence will show that despite a handful of success stories, Canada's overall performance is poorer than that of other industrialized nations.Part Two, the diagnosis, analyzes the reasons for Canada's mixed environmental record.Why do some environmental laws and policies result in significant improvements while others fail to produce progress?What are the obstacles to improving Canada's environmental laws and policies, and more important, Canada's environmental performance?Part Two concludes with a discussion of the critical, yet often unacknowledged, importance of addressing the root causes of environmental degradation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.511
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0040.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.4890.289

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 head0.028
GPT teacher head0.219
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2007
Admission routes1
Has abstractyes

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