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Record W2770180947 · doi:10.1016/j.ijpp.2017.11.002

A juvenile with compromised osteogenesis provides insights into past hunter-gatherer lives

2017· article· en· W2770180947 on OpenAlexaffabout
Thivviya Vairamuthu, Susan Pfeiffer

Bibliographic record

VenueInternational Journal of Paleopathology · 2017
Typearticle
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)PostcraniaJuvenileWastingDentistryAnatomyBiologyMedicineGeographyArchaeologyEcologyEndocrinology

Abstract

fetched live from OpenAlex

The Late Archaic in northeastern North America (4500-2800 B.P.) pre-dates reliance on pottery and domesticated plants. It is thought to reflect a highly mobile, seasonal migratory foraging/hunting regimen. A juvenile skeleton with pervasive bone wasting and fragile jaws from the Hind Site (AdHk-1), ca. 3000 B.P., southwestern Ontario, provides evidence of the social context of her family group, including aspects of mobility and food management. The well-preserved bones and teeth are considered in bioarchaeological context. Radiographic, osteometric and cross-sectional geometric approaches to assessing musculoskeletal function are presented, plus differential diagnosis of the bone wasting condition. All bones of the probable female (aged approx. 16yr) show stunting and wasting. Wedged lower vertebral bodies, porous trabeculae, undeveloped bicondylar angles (femur) and abnormally low cortical long bone mass are consistent with chronically reduced ambulation. Few teeth remain in the dramatically resorbed alveoli; slight tooth wear and substantial calculus suggest a modified (soft) diet. Osteogenesis imperfecta type IV is the most probable etiology. The extended survival of this juvenile who may never have walked reflects collective care. The case provides evidence of a past lifeway that appears to have been organized around logistic mobility, including occupational stability and food storage.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.017
GPT teacher head0.298
Teacher spread0.281 · 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

Citations7
Published2017
Admission routes2
Has abstractyes

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