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Record W3010251501 · doi:10.1177/0843871420904188

For those in peril on and off the sea: Merchant marine bodies in nineteenth-century St. John’s, Newfoundland

2020· article· en· W3010251501 on OpenAlexaffabout
Madeleine Mant

Bibliographic record

VenueInternational Journal of Maritime History · 2020
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsUniversity of TorontoMemorial University of Newfoundland
Fundersnot available
KeywordsExtant taxonCrewPort (circuit theory)HistoryWorkforceHygieneMedicineMedical emergencyLawArchaeologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Nineteenth-century admission records to the St. John’s General Hospital have recently been made available for analysis. Records are extant from 17 May 1886 to 30 December 1899, and of the 5,995 admissions during this period, it was possible to identify 294 unique male merchant seafarers. Individuals were most frequently admitted due to traumatic conditions, respiratory diseases, and sexually transmitted infections, results which resonate with previous historical studies of seafaring health. Cross-referencing individual seafarer’s hospital admissions with crew list agreements from the Registrar General for Shipping and Seamen allowed for an examination of time spent in port before hospital admission, which provides a unique contribution to the historical literature on the health of the maritime workforce. This research sheds light upon the healthcare experience of merchant seafarers in the key port city of St. John’s, Newfoundland and Labrador, emphasizing the value of hospital records in broader studies of occupational risks and hygiene.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.098
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.039
GPT teacher head0.302
Teacher spread0.263 · 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 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

Citations3
Published2020
Admission routes2
Has abstractyes

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