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Record W4402720318 · doi:10.1093/jhmas/jrae031

Working Vacations and Adventure: American Women Physician Volunteers to the Labrador Mission of Wilfred Grenfell Before 1914

2024· article· en· W4402720318 on OpenAlexaffabout
Jennifer J. Connor

Bibliographic record

VenueJournal of the History of Medicine and Allied Sciences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAdventureMedicineFamily medicineHistoryGerontologyArt history

Abstract

fetched live from OpenAlex

Many accounts, autobiographical and scholarly, emphasize how volunteers portrayed their work in the mission established for fishers by British physician Wilfred Grenfell in Newfoundland and Labrador: as escapist adventure. Scholars have not studied women physicians or their motivations to volunteer, however. This oversight derives from their small number combined with lack of knowledge about this mission's distinction from the foreign medical missions and domestic frontier missions that drew many women physicians to permanent positions. This study therefore discusses two American physicians, Alfreda B. Withington (1860-1951) and Emma E. Musson (1862-1913), who volunteered for summer service with this mission in 1907 and 1909, respectively. Through their publications, biographical sources, and clinical accounts, it reveals the appeal to them of such temporary, accessible volunteer service as a working vacation that rejuvenated. Importantly, it counters the skewed perspective of contemporary accounts in which the connection of Withington and Musson to an international celebrity, Wilfred Grenfell, overrode fuller considerations of their own lives, careers, and experiences. Finally, this examination suggests possible differences in their volunteerism between women physicians and their male counterparts: along with other women professionals, medical women often incorporated volunteer vacation experience into a continuum of similar endeavors in their careers.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.999

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 studies0.0000.004
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 head0.022
GPT teacher head0.267
Teacher spread0.245 · 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.

Study designNot applicable
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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

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