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Record W2486230763 · doi:10.1017/cbo9780511811272.008

Obstacles to ratification of the ICRMW in Canada

2009· book-chapter· en· W2486230763 on OpenAlexaboutno aff
Victor Piché, Eugénie Depatie-Pelletier, Dina Epale

Bibliographic record

VenueCambridge University Press eBooks · 2009
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsRatificationPrerogativeSovereigntyPolitical scienceConventionNationalismImmigrationRefugeePolitical economyPublic administrationLawPoliticsSociology

Abstract

fetched live from OpenAlex

Introduction Throughout the twentieth century, international migration policies and principles have been dominated by the nationalist/consequentialist paradigm (Piché, forthcoming; Ruhs and Chang, 2004). This paradigm is based on two fundamental principles: first, international migration policies are the exclusive prerogative of national states (national sovereignty); and second, they are geared towards national interests (immigration must thus have positive economic consequences). One notable breach with respect to national sovereignty is the Geneva Convention (1950) whereby States Parties have accepted international standards and multilateral management of refugee protection. Although ‘virtually all migration policies affect the enjoyment of recognized human rights’ (Fitzpatrick, 2003, p. 169), the connection between international migration and human rights is relatively recent and can be traced back to the early work of the ILO and, in particular, the 1949 Migration for Employment Convention. However, the basic instrument in human rights of migrants is the ICRMW, which was adopted by the UN in 1990 and came into force thirteen years later, on 1 July 2003, after ratification by twenty signatory countries. As was the case with women and children, the adoption of this specific convention by the international community targeted the human rights protection of a particularly vulnerable group: non-citizens (workers and members of their families). Since the Convention came into force, twenty-one other states have ratified it (bringing the number of ratifications to forty-one as of June 2009) and campaigns geared towards ratification are under way in several countries.

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)0.014
metaresearch head score (Gemma)0.024
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 score0.182
Threshold uncertainty score0.948

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0150.006
Scholarly communication0.0130.003
Open science0.0050.006
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0090.001

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 head0.013
GPT teacher head0.185
Teacher spread0.172 · 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

Citations22
Published2009
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicEnvironmental and Social Impact AssessmentsFrench-language works237,207