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Record W2030822063 · doi:10.1177/0898010109354919

Remembering Florence Nightingale’s Panorama

2010· article· en· W2030822063 on OpenAlexaff
Deva‐Marie Beck

Bibliographic record

VenueJournal of Holistic Nursing · 2010
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsVanguardSociologyHealth careNursingGender studiesHistoryPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

Florence Nightingale lived and worked in response to her times--yet also ahead of her time. She insisted on pursuing a career even though her wealthy family could have provided her with a lifetime of leisure. Because she was a woman, this choice to work outside her home was all the more unusual. Nightingale was also a vanguard woman because she chose nursing, a role that was considered the work of desperate, impoverished women who lived on the street like prostitutes. In addition to these unusual choices, Nightingale's career was unique beyond anyone in her time. She was one of the most prolific authors of the 19th century. In addition to being an early role model for nursing, Nightingale was also a leader in several other fields emerging in her time, including social work, statistical analysis, and print journalism. As a global thinker, Nightingale would have loved 21st century. She noted cultural, social, and economic concerns, particularly in relation to health and to the discipline of nursing. She urged nurses to progress in their practice and to think outside their official domains. She responded to the culture of the 19th century by envisioning what could be changed. Working with her talents and available resources, she evolved the health care culture of the 20th century and beyond. She called all of this work "Health-Nursing." As we remember and further study the extraordinary panorama that is our Nightingale legacy, we are creating and shaping our relevant, emerging 21st century nursing practice.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.117
GPT teacher head0.482
Teacher spread0.365 · 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 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

Citations9
Published2010
Admission routes1
Has abstractyes

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