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Record W4384132655 · doi:10.32920/23676702

Statelessness in Canada: socio-political exclusion and the negation of 'stateless persons' human rights

2023· preprint· en· W4384132655 on OpenAlexaffabout
Lauren Hannah Moore

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsStatelessnessHuman rightsStateless protocolCitizenshipPolitical scienceInternational human rights lawLawPoliticsDeclarationObligationInternational lawFundamental rightsSociologyState (computer science)

Abstract

fetched live from OpenAlex

Given their lack of recognised citizenship and their inability to obtain travel and identification documentation, stateless persons are at high risk for both social and political exclusion. Consequentially, stateless people experience human rights violations in the forms of; the inability to move freely, the use of arbitrary detention, and the denial of access to services that grant fundamental rights outlined in the Universal Declaration of Human Rights (1948). Canada does not currently have a stateless determination process for identifying statelessness within its law, an issue that likely reinforces why statelessness is a highly under-researched issue within Canadian academia. This body of work provides an overview of the current state of affairs in Canadian literature, in the form of a literature review. By outlining gaps within Canadian academia, this paper provides recommendations for areas of additional research. Doing so ultimately highlights the importance of ensuring all persons are afforded citizenship rights. Keywords: Statelessness, Canada, Citizenship, Human Rights, International Obligation, State Sovereignty, Securitization, Immigration Detention, International Human Rights Law.

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)0.002
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.186
Threshold uncertainty score0.944

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0200.014
Scholarly communication0.0100.003
Open science0.0010.004
Research integrity0.0010.003
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 head0.030
GPT teacher head0.304
Teacher spread0.274 · 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
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
Published2023
Admission routes2
Has abstractyes

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