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Record W7024266251

Should citizenship be for sale?

2014· report· en· W7024266251 on OpenAlexaboutno aff

Bibliographic record

VenueCadmus - EUI Research Repository (European University Institute) · 2014
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMalteseCitizenshipParliamentGovernment (linguistics)Real estateBritishness
DOInot available

Abstract

fetched live from OpenAlex

On 12 November 2013 the Maltese Parliament decided to offer Maltese and European citizenship at the price of € 650,000, but implementation of the law has been postponed due to strong domestic and international critiques. On 23 December, the Maltese government announced significant amendments, including a higher total amount of € 1,150,000, part of which has to be invested in real estate and government bonds. Several other European states have adopted ‘golden passport’ programmes. Should citizenship be for sale? In November 2013 EUDO CITIZENSHIP invited Ayelet Shachar of the University of Toronto Law School to open a debate on these controversial policies. Twelve authors have contributed short commentaries, most of which refer to the initial law adopted by the Maltese Parliament. An executive summary by Rainer Bauböck provides an overview over the main questions raised in our forum.

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)0.003
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.054
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0060.006
Scholarly communication0.0110.014
Open science0.0020.005
Research integrity0.0150.009
Insufficient payload (model declined to judge)0.0490.014

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 head0.331
GPT teacher head0.388
Teacher spread0.056 · 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
Published2014
Admission routes1
Has abstractyes

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