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Space, Place, and the Evidence Base: Part II—Rereading Nursing Environment Through Geographical Research

2005· review· en· W2153690248 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorldviews on Evidence-Based Nursing · 2005
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Toronto
FundersUniversity of Auckland
KeywordsSpace (punctuation)DisciplineNursing researchNursing literatureSociologySubject (documents)EpistemologySocial scienceNursingMedicineLinguisticsComputer scienceAlternative medicine

Abstract

fetched live from OpenAlex

This, the second and final article in the short health geography series, articulates how, moving beyond the models and assumptions associated with the metaparadigm of Nursing Environment, as a focused subdisciplinary approach, health geography might provide unique insights into nursing. A case study of a fictional yet somewhat typical children's hospital is presented and demonstrates some wide-ranging geographical issues and research questions (and hence potential geographical data) pertaining to nursing and the allied health professions. Indeed, this broad-brush approach is purposeful to make as many connections as possible to readers with varied theoretical, methodological, empirical, and practice expertise. In addition to the case study, to indicate further how geographical inquiry might locate quite comfortably in nursing research, the article also makes some initial and tentative connections between geography and an established nursing framework for the uptake of research evidence for practice. Although it is acknowledged that geographical inquiry should certainly never have the first call on researching the relationships between nurses and their environments, it is argued that its conceptual focus on space and place provides dedicated and detailed attention and a sound basis for a reformed, "spatialized" route to a more comprehensive understanding. Moreover, it is argued that it also demonstrates great versatility in terms of the scales and the subject matter with which it might engage. Some important issues certainly remain with respect to what might be the correct form of engagement between geographical and nursing research, but arguably, as a reformed disciplinary approach, health geography has the potential to provide a wealth of focused evidence for 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.

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)0.017
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0080.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.0010.001

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 head0.366
GPT teacher head0.538
Teacher spread0.172 · 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