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Record W2200592905

Methods of Protection of Economic and Social Rights in Canada

2013· article· en· W2200592905 on OpenAlexaffabout
David Wiseman

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPovertyPopulationDevelopment economicsHealth careCulture of povertyEconomic growthPolitical scienceBasic needsState (computer science)WageSocial protectionEconomicsLabour economicsSociologyDemography
DOInot available

Abstract

fetched live from OpenAlex

Canada is one of the wealthiest countries in the world and consistently ranks highly in comparative quality of life measures. Canada is well known for its abiding commitment that the state has a fundamental role to play in supporting the social and economic well-being of its citizens. Canada pioneered, and still maintains, a universally accessible, publicly provided, health care system. Social housing, social assistance programs and publicly-funded education are provided across the country. There are minimum wage guarantees and workplace health and safety standards. The labour relations system is premised upon and protects the existence of trade unions. Yet there are significant and stubborn social and economic inequalities and deprivations in Canada. The country's gross domestic product more than doubled in the last two decades of the twentieth century, but the poverty rate barely improved. It is estimated that a sixth of the population still lives in poverty. From 1980 to 1999, the poverty rate among children increased by almost 3%. Throughout the period, women and aboriginal peoples continued to suffer a much higher incidence of poverty than their male and non-aboriginal counterparts. And, perhaps most tellingly, the poverty gap, that is, the amount of additional income that would be required to bring all Canadians above the poverty line in any given year, increased by $5 billion from 1980 to 1999.The persistence of significant poverty in Canada, together with the disproportionate ill-health and other disadvantages with which it is associated, raises the possibility that many Canadians are suffering violations of their social and economic rights. Indeed, over the past decade, Canadian non-governmental organizations have regularly asserted that Canadian governments have failed to comply with their obligations under the International Covenant on Economic Social and Cultural Rights (ICESCR). Moreover, the United Nations Committee on Economic, Social and Cultural Rights, which monitors compliance with the ICESCR, has agreed. In turn, the question arises as to what domestic legal mechanisms are available for protecting the social and economic rights of Canadians and what barriers exist to their effective use and functioning. That is the question addressed in this contribution. More specifically, this chapter surveys the domestic legal mechanisms available for protecting a selection of the rights guaranteed by the ICESCR, namely, labour rights (Articles 6-8) and the rights to adequate housing (guaranteed by Article 11), health (Article 12), social security (Article 9) and education (Article 13). The survey is spread over four parts. In Part [1] I first briefly describe the Canadian constitutional system, including the division of legislative power between the national and regional governments and the relationship between domestic legal system and international law. I then identify the three types of mechanisms of legal protection of these rights. Those mechanisms are: first, the Canadian Charter of Rights and Freedoms, which is a constitutional rights mechanism; second, anti-discrimination and human rights legislation; and, third, human rights protections provided in legislation addressed to specific areas of social activity or provided by the quasi-judicial institutions supervising such legislation. In Parts [II] to [IV] I then discuss, in reverse order, each type of mechanism in more detail. I consider to what extent each mechanism requires or allows for the protection of the selected rights and to what extent such protection has been granted or obtained. I also consider why each mechanism has not proven more effective.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.650

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0190.007
Scholarly communication0.0080.002
Open science0.0030.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0200.001

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 head0.010
GPT teacher head0.281
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 designNot applicable
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
Published2013
Admission routes2
Has abstractyes

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