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Record W3164298531 · doi:10.1111/inr.12678

Where in the world is Florence Nightingale’s medicine chest?

2021· article· en· W3164298531 on OpenAlexaffabout
Arlene Kent‐Wilkinson

Bibliographic record

VenueInternational Nursing Review · 2021
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHistory of nursingPandemicWork (physics)NursingMedicineHistoryCoronavirus disease 2019 (COVID-19)SociologyNurse educationPathology

Abstract

fetched live from OpenAlex

BACKGROUND: anniversary year of the birth of Florence Nightingale, and during the COVID-19 pandemic, it is both interesting and salient to be reminded of the foundational work of this famous woman who began modern nursing. Her work in nursing care and nursing, health and public policy has been a continuing strong foundation to practices in societies around the world. METHODS: In this short communication about historical research, various aspects of Florence's life and work are described, as well as the locations, memorials and museum significant to our remembrance of her. RESULTS: A particular focus of this paper is the description of a larger but little-known medicine chest located at the College of Nursing, University of Saskatchewan, in Saskatoon, SK, Canada, and attributed as belonging to Florence. CONCLUSION: Best known to this point in time is a smaller medicine chest at the Florence Nightingale Museum in London.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.007
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.061
GPT teacher head0.438
Teacher spread0.377 · 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.

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

Citations3
Published2021
Admission routes2
Has abstractyes

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