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Record W2163351691 · doi:10.12927/hcpap.2012.23080

Looking Back 50 Years in Hospital Administration

2012· article· en· W2163351691 on OpenAlexaffvenueabout
Ross Graham, Shannon L. Sibbald

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsMiddlesex London Health Unit
Fundersnot available
KeywordsAdministration (probate law)LegislationHealth careThematic analysisHealth administrationContent analysisMedicinePolitical scienceQualitative researchNursingPublic administrationSociologySocial scienceLaw

Abstract

fetched live from OpenAlex

Healthcare policy and hospital administration are dynamic and growing fields, oriented toward shaping the future. In an effort to understand where these fields have come from, as well as some of the re-occuring challenges faced, we conducted a retrospective analysis. Our research identified progress and major accomplishments, as well as issues that continue to challenge the field in five key areas: (1) the evolution of nursing, (2) funding and legislation, (3) hospital design, construction and technology, (4) patient care and infection control and (5) leadership. To explore these areas, a thematic content review was conducted on the 12 inaugural issues of Hospital Administration in Canada, a hospital administration periodical from 1962. All written content was reviewed, coded and categorized into major themes that represented the major hospital administration topics of 50 years ago. In this article, five prominent themes are explored and further illustrated using key stories and milestones from 1962.

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)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.244
Threshold uncertainty score0.484

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0190.014
Scholarly communication0.0110.010
Open science0.0010.005
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0030.001

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 head0.115
GPT teacher head0.440
Teacher spread0.325 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2012
Admission routes3
Has abstractyes

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