MétaCan
Menu
Back to cohort
Record W2755751051 · doi:10.1093/tandt/ttx118

Multi-jurisdictional pre-immigration planning

2017· article· en· W2755751051 on OpenAlex
Ed Powles, Emma-Jane Weider, Alon Kaplan, L. Eyal, Robert Santia, Rachel Blumenfeld, Stanley A. Barg, Eric Dorsch

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTrusts & Trustees · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsAir Canada
Fundersnot available
KeywordsEmigrationImmigrationScope (computer science)CitizenshipPaymentInvestment (military)PoliticsBusinessImmigration reformImmigration policyImmigration lawFree movementDevelopment economicsPolitical sciencePublic economicsEconomic policyInternational economicsEconomicsInternational tradeLawFinance

Abstract

fetched live from OpenAlex

Political changes worldwide, results of general elections such as in the USA or UK, and various changes in the relevant jurisdictions, including relating to tax payments, or amendments to tax benefits, result in greater movement of individuals between various countries. While not all immigration/emigration is tax related, professionals are seeing immigration to jurisdictions granting tax benefits, and emigration from those countries, amending their advantageous regimes. In addition, although outside the scope of this article, certain jurisdictions grant citizenship rights coupled with certain investment opportunities in those jurisdictions.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.373
Teacher spread0.320 · 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