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Record W2265792176

Book Review: Uncertain Causation in Medical Liability by Lara Khoury

2008· article· en· W2265792176 on OpenAlexaff
Vaughan Black

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCausationMinor (academic)ScholarshipLiabilityField (mathematics)LawPsychologyEpistemologySociologyPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Khoury has a plan for commanding the attention of decision makers. She is keenly aware that the field she investigates is one where courts have accorded slight attention to theory. She acknowledges early in her book that academic efforts to resolve the conundra of factual causation have only played a minor role in their solution by the judiciary. She further correctly notes that decades of theoretical effort have failed to prevent the emergence of practical problems in the demonstration and assessment of causation... Indeed, she seems to waver between thinking that scholarship has merely been unsuccessful in commanding the attention of courts and the harsher assessment that academic efforts in this field have been demonstrably wrong, or at least have failed to produce satisfactory solutions even at the theoretical level. In any event, regardless of whether she views academic efforts in this area as unsuccessful or merely as ineffectual, Khoury certainly eschews any pretense of engaging at length with any of the theoretical offerings of her predecessors. She disclaims any attempt to address and solve philosophical or theoretical issues related to causation.

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)0.014
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.234
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.009
Insufficient payload (model declined to judge)0.0070.000

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 head0.030
GPT teacher head0.411
Teacher spread0.381 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2008
Admission routes1
Has abstractyes

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