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Record W2959797099 · doi:10.7202/1061218ar

HEALTH(CARE) AND THE TEMPORAL SUBJECT

2018· article· fr· W2959797099 on OpenAlexvenueno aff
Ben Davies

Bibliographic record

VenueLes ateliers de l éthique · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsDistributive justiceHealth careSubject (documents)Pluralism (philosophy)Economic JusticeArgument (complex analysis)Law and economicsElement (criminal law)SociologyPositive economicsEpistemologyPolitical scienceEconomicsLawComputer scienceMedicinePhilosophy

Abstract

fetched live from OpenAlex

Many assume that theories of distributive justice must obviously take people’s lifetimes, and only their lifetimes, as the relevant period across which we distribute. Although the question of the temporal subject has risen in prominence, it is still relatively underdeveloped, particularly in the sphere of health and healthcare. This paper defends a particular view, “momentary sufficientarianism,” as being an important element of healthcare justice. At the heart of the argument is a commitment to pluralism about justice, where theorizing about just principles demands paying attention to the role particular goods play in our lives. This means that different approaches to the temporal subject—as well as other relevant issues—may be appropriate for different goods, including different goods within healthcare. In particular, the paper discusses two central goods targeted by healthcare: life-saving and pain relief. The view is offered as complementary to, rather than competitive with, lifetime approaches. As such, the paper finishes by considering how a pluralist approach, which engages both with people’s lives as a whole and with their states at particular moments, can reconcile the potentially competing claims in healthcare that emerge from these two perspectives.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.010
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.038
GPT teacher head0.337
Teacher spread0.299 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations2
Published2018
Admission routes1
Has abstractyes

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