1bac8019ff8f3ea6…
ClaimID:
urn:uuid:aa8d444f-2f3c-4558-8074-f6347d962523920 bytesFirst seen Sep 11, 20261 collection · 2 versionsFields
| Name | Value |
|---|---|
| description | {"content":"All findings are scoped to a two-study design: Study 1 is an fMRI study of N=40 young adults run on a 3T scanner using a within-subject lottery paradigm with three conditions (Solo, Social, Partner) over two scanning sessions; Study 2 is a behavioural-only replication with N=44 independent participants using the same task outside the scanner. Both studies use the same EV-maximising algorithmic partner (the participants are not told the partner is an algorithm). All neural claims derive from Study 1; all behavioural claims are tested in both studies. Conclusions about interpersonal guilt are conditional on this paradigm — repeated lottery decisions in a constrained risk-taking design with monetary stakes — and on the specific population sampled.","format":"text/plain"} |
| title | scope-two-study-design |
Canonical JSON
{
"id": "urn:uuid:aa8d444f-2f3c-4558-8074-f6347d962523",
"type": "Claim",
"data": {
"description": {
"content": "All findings are scoped to a two-study design: Study 1 is an fMRI study of N=40 young adults run on a 3T scanner using a within-subject lottery paradigm with three conditions (Solo, Social, Partner) over two scanning sessions; Study 2 is a behavioural-only replication with N=44 independent participants using the same task outside the scanner. Both studies use the same EV-maximising algorithmic partner (the participants are not told the partner is an algorithm). All neural claims derive from Study 1; all behavioural claims are tested in both studies. Conclusions about interpersonal guilt are conditional on this paradigm — repeated lottery decisions in a constrained risk-taking design with monetary stakes — and on the specific population sampled.",
"format": "text/plain"
},
"title": "scope-two-study-design"
}
}Appears in 1 collection · 2 versions
elifepathways/mira2 versions · Sep 11, 2026
Full hash:1bac8019ff8f3ea6178764c2f9a74271c1fd4c9ddc7a0a8744fb88016ce1f790