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Record W2248683898

Chapter 13: Taking Competence Seriously

2007· article· en· W2248683898 on OpenAlexaffabout
David Wiseman

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAdjudicationCharterPolitical scienceSocial rightsLaw and economicsJudicial reviewLawPublic administrationHuman rightsSociology
DOInot available

Abstract

fetched live from OpenAlex

With the enactment of the Canadian Charter of Rights and Freedoms came the hope that Charter litigation might provide an additional avenue for prompting Canadian governments to address poverty and other circumstances of social and economic inequality that constitute violations of the social rights of Canadians. In the short history of the adjudication of social rights claims brought under the Charter, an underlying concern over whether courts possess the institutional resources to competently adjudicate such claims has emerged. This concern has been expressed throughout the stages of Charter adjudication and has often been relied upon to justify a full or partial limit upon the scope of judicial review. Thus, courts have often narrowed the scope of Charter rights and freedoms to exclude social rights obligations in the violations review stage, have deferred to governmental balancing of economic and social priorities in the section 1 review stage, and have refused to impose positive remedial obligations in the remedy review stage. Such decisions have serious consequences not only for the immediate social rights claimants (whose claims are often partially or fully rejected) but also for the more general allocation of decision-making power and responsibility in Canadian society. In limiting the scope of judicial review in social rights cases, Canadian judges are limiting the role of the judicial branch of government, and the governance tool of adjudication, in addressing poverty and social rights. At the same time, they are preserving the role of the other branches of government and of other governance tools. Ultimately, then, Charter adjudication of social rights claims involves not only issues of poverty, human rights, and justice but also issues of governance. The fact that Canadian judges are devoting attention to the issue of the institutional competence of courts in social rights Charter cases, and in Charter cases more generally, indicates a laudable judicial willingness to take the issue of the allocation of decision-making power and responsibility seriously. However, the judicial analysis of institutional competence issues is too superficial to justify the resultant allocations of decision-making power and responsibility. In other words, the issue of institutional competence is not being taken seriously enough. More particularly, Canadian judges are failing to adequately explore and apply the full range of their institutional competence and are responding to perceived incompetence without sufficient analysis of the limitations of alternative decision-making institutions or of countervailing considerations. As a result, Canadian judges are both underestimating their competence and overreacting to perceived incompetence. This tendency is particularly marked in social rights cases and has meant that concerns over competence have had a disproportionate, detrimental effect in this area.In this chapter, I seek both to facilitate a more serious analysis of competence issues in general and to prompt a reassessment of the treatment of social rights claims more specifically. I begin with an explanation of the competence concerns and illustrate their role in social rights cases with reference to the Supreme Court of Canada's decision in Gosselin v Quebec (Attorney General). I also identify the bases upon which social rights cases bear a disproportionate burden of such concerns. The bulk of the chapter is then devoted to identifying and discussing a range of questions and issues that Canadian judges ought to be considering if they are really serious about the issue of competence. I also briefly assess the extent to which Canadian judges have recognized and analyzed these questions and issues and discuss select examples of their shortcomings.

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)0.012
metaresearch head score (Gemma)0.013
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: Other · Consensus signal: Other
Teacher disagreement score0.290
Threshold uncertainty score0.576

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0160.039
Scholarly communication0.0220.013
Open science0.0030.011
Research integrity0.0140.013
Insufficient payload (model declined to judge)0.0210.006

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 head0.289
Teacher spread0.271 · 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
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 routes2
Has abstractyes

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