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Record W3033436248 · doi:10.1002/oa.2894

Proximal femur fractures among a medieval Christian population of northern Sudan: prevalence and aetiology

2020· article· en· W3033436248 on OpenAlexaff
Joanna Ciesielska, Robert J. Stark

Bibliographic record

VenueInternational Journal of Osteoarchaeology · 2020
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsMcMaster University
FundersUniwersytet Warszawski
KeywordsEtiologyMedicineFemurPopulationDemographyDentistrySurgeryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract The current paper investigates the prevalence and aetiology of proximal femur fractures in two temporally distinctive groups of medieval Christian Nubia: the monastic community (ca. late 7th to half of 13th c. AD) and a later group of post‐monastic, intrusive interments (ca. 13th c. AD) from Cemetery 2 at Ghazali, northern Sudan. Four cases of proximal femur fractures were identified macroscopically among the skeletal remains of 86 adult individuals and subjected to detailed investigation of underlying aetiology due to the unusual demographic characteristics of the individuals. The proximal femora were subjected to radiographic examination and classification of trauma using the AO/Orthopaedic Trauma Association (OTA) system, and the prevalence of fractures was calculated. Among the 77 adult individuals examined from the Monastic Phase of Cemetery 2, three cases of hip fractures were identified, a prevalence of 3.9%, whereas only one was identified among the nine post‐monastic individuals, which accounts for 11.1% of the total sample. All of the recognized fractures belong to the extracapsular type. Analysis of the mechanisms of fracture in the four studied individuals from Ghazali, despite the relatively young age of male individuals, does not exclude osteoporotic background resulting in stress‐induced fragility trauma. Considering the demographic profile of the deceased and observed comorbidities, it is concluded that sustained fractures were the result of high‐impact injuries connected with demanding physical activity in the harsh Bayuda desert environment.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.012
GPT teacher head0.290
Teacher spread0.279 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

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