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The history of nursing in the home: revealing the significance of place in the expression of moral agency

2002· article· en· W2171837081 on OpenAlexaff
Elizabeth Peter

Bibliographic record

VenueNursing Inquiry · 2002
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsDe VeberUniversity of Toronto
FundersSigma Theta Tau International
KeywordsAgency (philosophy)Moral agencyDutyNursing ethicsContext (archaeology)NursingArgument (complex analysis)Feminist ethicsPower (physics)Relevance (law)SociologyMedicinePsychologySocial psychologyPolitical scienceLawSocial scienceGender studies

Abstract

fetched live from OpenAlex

The history of nursing in the home: revealing the significance of place in the expression of moral agency The relationship between place and moral agency in home care nursing is explored in this paper. The notion of place is argued to have relevance to moral agency beyond moral context. This argument is theoretically located in feminist ethics and human geography and is supported through an examination of historical documents (1900-33) that describe the experiences and insights of American home care/private duty nurses or that are related to nursing ethics. Specifically, the role of place in inhibiting and enhancing care, justice, good relationships, and power in the practice of private duty nurses is explored. Several implications for current nursing ethics come out of this analysis. (i) The moral agency of nurses is highly nuanced. It is not only structured by nurses' relationships to patients and health professionals, i.e. moral context, it is also structured by the place of nursing care. (ii) Place has the potential to limit and enhance the power of nurses. (iii) Some aspects of nursing's conception of the good, such as what constitutes a good nurse-patient relationship, are historically and geographically relative.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.055
Scholarly communication0.0090.008
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.294
GPT teacher head0.483
Teacher spread0.189 · 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 designQualitative
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

Citations75
Published2002
Admission routes1
Has abstractyes

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