MétaCan
Menu
Back to cohort

Intergenerational Cooperation and the Social Contract

2021· book-chapter· en· W3137741265 on OpenAlexaff
Joseph Heath

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReciprocity (cultural anthropology)Economic JusticeDivision of labourObstacleLaw and economicsFoundation (evidence)Set (abstract data type)SociologyPositive economicsSocial contractEconomicsEpistemologyNeoclassical economicsPolitical scienceLawSocial scienceComputer science

Abstract

fetched live from OpenAlex

Abstract John Rawls made the enormously influential suggestion that society can be conceived of as a “cooperative venture for mutual advantage,” governed by a “theory of justice,” which is a set of principles that specify an acceptable division of the “benefits and burdens of cooperation.” It follows, however, that if there are no opportunities for mutually advantageous cooperation in a particular domain of social interaction, then these interactions cannot be governed by principles of justice. Certain commentators have argued that this analysis precludes the application of Rawlsian-style contract theory to questions of intergenerational justice, on the grounds that there can be no reciprocity between non-contemporaneous generations, and thus no possibility of intergenerational cooperation. Yet despite having become influential in the literature, this claim is incorrect, being based upon an overly narrow, direct conception of reciprocity. Many systems of cooperation, both in nature and in human society, are based on indirect reciprocity, where the individual from whom a benefit is received need not be the same as the individual to whom a benefit is provided. Once the possibility of indirect reciprocity is taken into account, one can see that there is no obstacle to the development of systems of intergenerational cooperation. The analysis of such systems provides the foundation for a contractual approach to questions of intergenerational justice.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.961
Threshold uncertainty score0.969

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 studies0.0010.001
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 head0.055
GPT teacher head0.274
Teacher spread0.219 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations18
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooksSame topicPolitical Philosophy and EthicsFrench-language works237,207