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Record W4381085478 · doi:10.1080/13698230.2023.2226473

Global justice, sovereign wealth funds and saving for the future

2023· article· en· W4381085478 on OpenAlex
Elizabeth Finneron‐Burns

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

VenueCritical Review of International Social and Political Philosophy · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsWestern University
FundersRiksbankens Jubileumsfond
KeywordsSovereign wealth fundValue (mathematics)SovereigntyState (computer science)Economic JusticeLaw and economicsSkepticismResource (disambiguation)EconomicsBusinessLawPolitical sciencePoliticsMarket economyMicroeconomicsIncentive

Abstract

fetched live from OpenAlex

In this paper I give some reasons why ‘saving for future generations’ is not as straightforward as it sounds and when we might be skeptical of the permissibility of states saving for future citizens, even though such savings are often seen to be morally praiseworthy. I emerge with an account of when state savings for future citizens through sovereign wealth funds may be morally permissible. I argue that we ought to follow a modified version of Armstrong’s criteria for the moral permissibility of sovereign wealth fund savings. That is, states are entitled to the full proceeds from the sale of a natural resource until their citizens’ basic rights are secured. Once they are, states are entitled only to the improved value of the resource, so long as they have not excluded others from the opportunity also to improve the resource. States may create sovereign wealth funds based on this improved value and, due to justified compatriot partiality, may choose to distribute those funds to current or future members of the state, even if non-citizens may be worse off and/or in greater need. Any residual value of the resource extraction must be redistributed globally.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.041
GPT teacher head0.333
Teacher spread0.291 · 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