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Record W2601485241

Update of the Body Armour Purchase and Replacement Protocol

2014· article· en· W2601485241 on OpenAlexaboutno aff
Christopher Withnall

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsArmourConsistency (knowledge bases)Forensic engineeringQuality (philosophy)Test (biology)EngineeringProduction (economics)AeronauticsComputer scienceMaterials scienceGeology
DOInot available

Abstract

fetched live from OpenAlex

Abstract : Several research programs have been undertaken in recent years to investigate the performance of aged soft body armor used by Canadian police forces. The original aim of this work was originally to inform police about the suitability of in-service armor, but it became rapidly clear that any system of checking aged armor would require starting with good quality new armor of known performance. Testing of field-returned body armor revealed many unexpected situations where armor allowed bullet perforations at standard velocities. In the meantime, the latest version of the ballistic body armor standard, NIJ-0101.06 was released in 2008, introducing a higher degree of design and production consistency in body armor. Based on elements from this most recent version of the ballistic standard, a method for further ensuring production quality has been proposed via a lot acceptance test, followed in the future by an aged armor test against that lot. Practitioners of this protocol will enjoy reassurance that they have supplied their officers with quality products. They may further enjoy economic benefit by extending the use of that armor into the future, provided it passes laboratory testing.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.038
GPT teacher head0.452
Teacher spread0.413 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2014
Admission routes1
Has abstractyes

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