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Record W7047091995

Expropriation, Nationality, and Diplomacy

2013· other· en· W7047091995 on OpenAlex

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

VenueKhazar University Institutional Repository (Khazar University) · 2013
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsExpropriationForeign direct investmentDiversity (politics)DiplomacySpace (punctuation)Investment (military)Scale (ratio)Foreign policy
DOInot available

Abstract

fetched live from OpenAlex

Expropriation of foreign-owned property continues to be part of the modern economy. Under what conditions do governments have the ability to expropriate foreign direct investment (FDI) in a globalizing world? I argue that governments have more permissive space to expropriate when host to a greater diversity of nationalities of foreign firms. One means of observing this dynamic is through diplomatic advocacy, because diplomats scale back their efforts when FDI national diversity weakens diplomatic leverage. This paper uses case studies of European and American investors in Argentina, Ukraine, Russia, and Romania to link variation in expropriation to FDI national diversity via diplomacy. If we take FDI national diversity as a marker of global integration, more integrated governments are – counterintuitively – more likely to expropriate.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.747
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0530.000

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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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