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Record W1984775336 · doi:10.1002/oa.804

A test of the revised Frost's ‘rapid manual method’ for the preparation of bone thin sections

2006· article· en· W1984775336 on OpenAlex
Patrick Beauchesne, Shelley R. Saunders

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

VenueInternational Journal of Osteoarchaeology · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsMcMaster UniversityWestern University
Fundersnot available
KeywordsComputer scienceArchaeologyFrost (temperature)Sample (material)OsteologyGeologyComputer graphics (images)Materials scienceChemistryComposite materialHistoryChromatography

Abstract

fetched live from OpenAlex

A recent publication by Maat et al. (2001) introduces a modification of Frost's earlier ‘rapid manual method’ for ground bone thin section preparations, which uses ‘surface embedding’ with cyanoacrylate for sample protection. This revised method is said to provide a quick, inexpensive system for producing thin sections from archaeological specimens with a finished quality equivalent to more involved and equipment-intensive methods. Our study conducted a test comparing Maat et al.'s method with the standard technique that uses vacuum embedding media. A number of samples were tested, including modern bone samples from the dissecting room as well as archaeological samples in differing states of preservation. The results were highly favourable for a large majority of the specimens. For both modern and archaeological bone, Maat et al.'s revised method produced images of equivalent quality to samples prepared using embedding media. However, poor preservation of the specimens is still an issue, and only relatively dense, intact specimens hold up to the physical demands of the manual grinding procedure. This paper also adds a number of refinements to Maat et al.'s methodology. Future refinement of this technique would greatly facilitate large-scale sampling and encourage more osteological researchers to use histomorphometric analysis of archaeological hard tissues. Copyright © 2006 John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.547
Threshold uncertainty score0.993

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 studies0.0000.010
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.322
Teacher spread0.302 · 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