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The Rules of Rescue

2023· book· en· W4321487644 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
FieldArts and Humanities
TopicWar, Ethics, and Justification
Canadian institutionsQueen's UniversityYork University
Fundersnot available
KeywordsSacrificeHarmAutonomyInternet privacyMoralityEnvironmental ethicsPublic relationsLaw and economicsBusinessSociologySocial psychologyPsychologyLawPolitical scienceComputer scienceHistoryPhilosophy

Abstract

fetched live from OpenAlex

Abstract This is a book about duties to help others. When does one have to sacrifice life and limb, time and money, to prevent harm to others? When must one save more people rather than fewer? These questions arise in emergencies involving nearby strangers who are drowning or trapped in burning buildings. But they also arise in everyday life, in which one has constant opportunities to give time or money to help distant strangers in need of food, shelter, or medical care. With the resources available, one can provide more help or less. This book argues that it is often wrong to provide less help rather than more, even when the personal sacrifice involved makes it permissible not to help at all. It shows that helping distant strangers by donating or volunteering is morally more like rescuing nearby strangers than most of us realize. The ubiquity of opportunities to help others threatens to make morality extremely demanding, and the book argues that it is only thanks to adequate permissions grounded in considerations of cost and autonomy that one may pursue one’s own plans and projects. It concludes that many are required to provide no less help over their lives than they would have done if they were effective altruists.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.451
Threshold uncertainty score1.000

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)0.0010.001

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 head0.112
GPT teacher head0.266
Teacher spread0.154 · 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

Citations28
Published2023
Admission routes1
Has abstractyes

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