MétaCan
Menu
Back to cohort
Record W2010382016 · doi:10.1115/ipc2002-27276

Protected Areas and Pipelines in Canada: Balancing Natural Values With Development at the Landscape Level — The Conservation First Principle

2002· article· en· W2010382016 on OpenAlexaffabout
Peter J. Ewins

Bibliographic record

Venue4th International Pipeline Conference, Parts A and B · 2002
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsWorld Wildlife Fund Canada
Fundersnot available
KeywordsEnvironmental resource managementNatural (archaeology)FrontierSustainable developmentBiodiversityEnvironmental planningBusinessNatural resource economicsGeographyEnvironmental protectionEnvironmental sciencePolitical scienceEcologyEconomicsLaw

Abstract

fetched live from OpenAlex

“Sustainable Development” is now a widely accepted concept, yet there are surprisingly few concrete examples of it in practice. The pipeline industry operates at broad landscape and regional levels, and now has the opportunity to provide a strong lead in showcasing how society can benefit from major new energy pipelines while not significantly compromising natural and cultural values. To achieve this requires adoption of a fundamental proactive, ecosystem-based principle — the “Conservation First Principle”. In Canada this principle, first stated by Hummel [1], is that “there should be no new or expanded large-scale industrial development until a network of protected areas is reserved which adequately represents the natural region(s) affected by that development”. This approach is not new (e.g., the 1992 commitment by all levels of Canada’s governments to complete such protected areas networks), but it is more urgently needed now in an energy-rich frontier nation like Canada to truly safeguard our natural and cultural values while developing new energy corridors. It is a precautionary approach, akin to an insurance policy we would all be familiar with at a personal level. By identifying key natural habitats in each natural region (areas of similar bio-physical characteristics — there are 486 terrestrial natural regions in Canada), and using sophisticated GIS-based gap analysis, working with local communities, industry and governments, a network of protected areas can be identified and then reserved for legal protection. This network then adequately protects a representative sample of habitats, biodiversity and ecosystem processes in each natural region before or simultaneous with development proposals and approvals. The development of natural gas reserves in the Mackenzie Valley provides all stakeholders with a timely high-profile opportunity to showcase this balanced approach. The NWT’s Protected Areas Strategy provides the widely-supported community-led process to identify and then reserve key cultural and ecological areas in tandem with gas pipeline development. Investors, industry, governments, local communities and the general public all seek the greater certainty and security that such advance planning and balancing provides. The knowledge that certain key areas are off-limits to future development, and that other areas (the largest portion of each natural region) are assigned for sensitive industrial development, sets the stage for a more secure, stable future, in which all values are accommodated satisfactorily. In the push for greater energy security, the pipeline and oil and gas industry should now embrace the Conservation First Principle in energy developments across Canada’s lands and oceans, most immediately as it plans for a major gas pipeline in the Mackenzie Valley.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.125
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0130.007
Scholarly communication0.0060.002
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.057
GPT teacher head0.295
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2002
Admission routes2
Has abstractyes

Explore more

Same venue4th International Pipeline Conference, Parts A and BSame topicIndigenous Studies and EcologyFrench-language works237,207