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Record W2121316115 · doi:10.1111/1556-4029.12496

National Academy of Sciences “Standardization”: On What Terms?

2014· article· en· W2121316115 on OpenAlex
Ann W. Bunch

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

VenueJournal of Forensic Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsPrince Albert Grand Council
Fundersnot available
KeywordsTerminologyConfusionStandardizationSubject (documents)Term (time)Engineering ethicsLibrary sciencePolitical sciencePsychologyMedical educationMedicineLawComputer scienceLinguisticsEngineering

Abstract

fetched live from OpenAlex

The frequently cited 2009 National Academy of Sciences Report entitled "Strengthening Forensic Science in the United States: A Path Forward" has become a focal point of forensic science practitioners' discussions and research since its publication. One of its recommendations is "Standardized Terminology and Reporting". Little has been published to date on this topic, although conversations and dialogs on the subject are ongoing. The upshot of this communication is to draw attention to the problem of one term in particular, perimortem, which may be only the proverbial "tip of the iceberg" in the lexicon-related concerns of forensic scientists. Even if it is an isolated issue, it is one that reflects the need for a consensus on term use and definitions by interdisciplinary practitioners who are currently using the term haphazardly, to the confusion of colleagues and potentially finders-of-fact in the courts.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.360
Teacher spread0.314 · 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