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Record W2904067975 · doi:10.1111/jpet.12347

Warm glow and the transmission of pro‐socialness across generations

2018· article· en· W2904067975 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

VenueJournal of Public Economic Theory · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicExperimental Behavioral Economics Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsIncentiveEconomicsSteady state (chemistry)Overlapping generations modelMicroeconomicsDemographic economicsChemistry

Abstract

fetched live from OpenAlex

The transmission of pro‐socialness across generations is modeled using the warm‐glow approach. The parent generation seeks to cultivate pro‐social values in their children as this would improve their material well‐being when they grow up as cooperative adults. I show that communities endowed with more productive resources have a stronger incentive to teach their children social cooperation. Thus, there is a correlation between a village's level of material well‐being and villagers’ steady‐state level of pro‐socialness. When the cost of moral education is directly dependent on the parent generation's level of pro‐socialness, the multiplicity of steady states may emerge. If a community's initial level of pro‐socialness is high, the system will reach an interior steady state; in contrast, if this initial level is low, eventually the level of pro‐socialness will approach zero in the long run. Thus communities that start with similar initial levels of pro‐socialness may end up at drastically different steady states.

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)0.004
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.044
GPT teacher head0.358
Teacher spread0.314 · 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