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What We Owe to Future People

2024· book· en· W4390964115 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

Venuenot available
Typebook
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsWestern University
Fundersnot available
KeywordsContractualismScope (computer science)Law and economicsSociologyNormative ethicsIdentity (music)Resource (disambiguation)Positive economicsEpistemologyPolitical scienceEconomicsLawPhilosophyComputer science

Abstract

fetched live from OpenAlex

Abstract The aim of the book is twofold: (1) to develop a comprehensive, contractualist theory of intergenerational ethics, and (2) to argue that contractualism’s ability to be that comprehensive theory of intergenerational ethics contributes to its plausibility as a moral theory in general. The book’s core claim is that contractualism provides us with a comprehensive theory of intergenerational ethics that justifies including future people in the scope of what we owe to each other and tells us how much we owe them. It begins by arguing that contractualism is not susceptible to the non-identity problem and so we must consider what future people could reasonably reject. It then argues that contractualism endorses ‘reason-balanced sufficientarianism’ and develops a series of moral principles guiding our behaviour towards future generations in terms of resource distribution, procreative decisions, optimal population size, and risk imposition. It concludes by applying these general principles to concrete, real-world individual and policy decisions and considering how the principles can and do interact with each other.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.967

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0340.040

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 head0.217
Teacher spread0.206 · 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

Quick stats

Citations9
Published2024
Admission routes1
Has abstractyes

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