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Record W2154589277 · doi:10.1258/jrsm.2010.100032

Beyond patient safety Flatland

2010· article· en· W2154589277 on OpenAlexaff
Jeffrey Braithwaite, Enrico Coiera

Bibliographic record

VenueJournal of the Royal Society of Medicine · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsWorld Wide WebComputer scienceMedicineData scienceMedical emergency

Abstract

fetched live from OpenAlex

When Edwin A Abbott published in 1884 his famous fantasy in geometry, Flatland: A romance of many dimensions, his imagination sparked not so much a revolution in mathematics or physics as of perspective. Flatland is a universe in two dimensions – length and width – and the inhabitants (lines, triangles, squares and multisided polygons) in the plane cannot apprehend the complexities of the third dimension: height. It remains beyond their cognitive reach. This analogously describes the problem of patient safety, where we know a lot about two dimensions – the magnitude of the predicament (the length of the problem) and the categories of harm (its width) – but the nature of the third dimension, the lofty heights of what to do, and how to address problems, has proven elusive. We are on the brink of understanding this dimension more thoroughly, and thus better positioned to tackle the challenges it presents.

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)0.002
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.351
Teacher spread0.328 · 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
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

Citations23
Published2010
Admission routes1
Has abstractyes

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