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Record W2920836765 · doi:10.1080/16544951.2019.1565610

Exploiting disadvantage as causing harm

2019· article· en· W2920836765 on OpenAlex
Siba Harb, R. J. Leland

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

VenueEthics & Global Politics · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsUniversity of Manitoba
FundersVlaamse regeringFonds Wetenschappelijk Onderzoek
KeywordsHarmDisadvantagePolitical scienceLaw and economicsLawSociologyCriminology

Abstract

fetched live from OpenAlex

In Responding to Global Poverty, Christian Barry and Gerhard Øverland argue that, while exploitation is morally problematic, responsibilities not to exploit are characteristically less stringent than responsibilities not to harm. They even suggest that exploiters’ responsibilities to assist the exploited may be weaker than the responsibilities of culpable bystanders who are able to help the poor but fail to do so We think Barry and Øverland underestimate the prospects of the exploitation argument. In our paper, we suggest that exploitation can plausibly be understood as a kind of harm. If exploitation harms, then it requires special justification and can generate stringent responsibilities not to exploit that have a different ground than those generated by morally culpable failures to assist. This suggests an important way to rehabilitate arguments for poverty relief on the basis of a duty not to harm, and that there is more interesting territory to explore than Barry and Øverland’s arguments suggest.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.999

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)0.0020.005

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 head0.059
GPT teacher head0.361
Teacher spread0.302 · 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