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Participatory Rights and Strategic Litigation

2016· book-chapter· en· W2505096193 on OpenAlexaboutno aff
Alastair R. Lucas

Bibliographic record

VenueOxford University Press eBooks · 2016
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsCitizen journalismBusinessLaw and economicsPublic administrationPolitical scienceLawSociology

Abstract

fetched live from OpenAlex

Abstract This chapter is concerned with community benefit forcing in Canada. Canada’s federal constitution poses an obstacle and sometimes a barrier for benefit forcing natural resource regulatory participants. Yet public participation in energy regulatory decisions can have outcomes beyond the process values of transparency and legitimate expectations. Participants seeking compensation in relation to energy and natural resource activities are able to use these proceedings to achieve their goals. Apart from private compensation and benefits, broader public benefits such as water and wildlife protection can also be achieved. The point is that vigorous participation, including potential legal action to enforce participatory rights, is a serious factor for achieving public and private benefits. It provides a strong incentive for experienced natural resource developers and transporters to negotiate and compromise. Participation may thus prompt contractualization.

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)0.006
metaresearch head score (Gemma)0.006
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 score0.257
Threshold uncertainty score0.511

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0120.033
Scholarly communication0.0130.007
Open science0.0020.007
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0230.002

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 head0.046
GPT teacher head0.207
Teacher spread0.161 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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