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International Human Rights Perspectives on Birthright Citizenship and Prenatal Tourism

2024· book-chapter· en· W4405350636 on OpenAlexaboutno aff
Vikas Sharma, Kunal Seth, Ankit Prakash

Bibliographic record

VenueAdvances in hospitality, tourism and the services industry (AHTSI) book series · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipHuman rightsTourismPolitical scienceEnvironmental ethicsSociologyLawPhilosophy

Abstract

fetched live from OpenAlex

This study explores the intricate issues surrounding birthright citizenship and prenatal tourism through a comprehensive analysis rooted in international human rights perspectives. Birthright citizenship, enshrined in principles of jus soli, grants citizenship to individuals born within a country's territory, but its exploitation through prenatal tourism raises ethical and socio-economic concerns. The research examines historical and legal foundations across 20 countries, highlighting diverse policy responses to balance human rights and national interests. Case studies from the United States, Canada, Australia, and Hong Kong illustrate the real-world implications of these policies. Semi-structured interviews with experts in immigration law and human rights provide practical insights, while a comparative analysis identifies best practices and challenges. The study underscores the necessity for international cooperation and thoughtful policy reforms to address the exploitation of birthright citizenship, and sustainable solutions that uphold human rights and address global inequality.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.013
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.011
GPT teacher head0.280
Teacher spread0.270 · 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
Published2024
Admission routes1
Has abstractyes

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