MétaCan
Menu
Back to cohort
Record W2170214857 · doi:10.1002/oa.1286

Developmental Fusion of the Malleus and Incus in a Late 19<sup>th</sup>‐Century Case of Aural Atresia

2011· article· en· W2170214857 on OpenAlexaffabout
Treena Swanston, Y. Carter, Christopher E. Hopkins, Ethan Walker, David M. L. Cooper

Bibliographic record

VenueInternational Journal of Osteoarchaeology · 2011
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIncusMalleusTemporal boneAtresiaStapesOsteologyAnatomyPathologicalCongenital syphilisMedicineMiddle earAudiologyPathology

Abstract

fetched live from OpenAlex

ABSTRACT A pathological condition, aural atresia, was discovered associated with human remains recovered from a late 19th‐century Catholic cemetery 2 km south of Battleford, Saskatchewan, Canada. Aural atresia, a congenital condition that results in a non‐existent external auditory meatus, was apparent on the right temporal bone of the remains of a young adult male. A complete osteological and contextual assessment, which included the use of a SkyScan 1172 micro‐CT scanner on the pathological incus that was recovered, indicated that the right incus and malleus had fused during early embryological development. The artifacts associated with this individual included a pocket mirror that may have represented a connection to the practice of oralism due to the discouragement of sign language by the authorities in that time period. The combination of advanced bone imaging and a complete contextual analysis suggests a differential diagnosis of nonfunctional hearing associated with the right ear, and the individual may have used a different means of communication. Copyright © 2011 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.259
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations5
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of OsteoarchaeologySame topicEar Surgery and Otitis MediaFrench-language works237,207