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Record W4283823144 · doi:10.21083/surg.v14i1.6864

Storytelling and Community Building in Hospitals’ Strategic Plans: A Discourse Analysis

2022· article· en· W4283823144 on OpenAlexafffundvenueabout
Alexandra Grady

Bibliographic record

VenueSURG Journal · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsUniversity of Guelph
FundersUniversity of Guelph
KeywordsStorytellingIdentity (music)Theme (computing)SociologyPublic relationsLinguisticsNarrativePolitical scienceAestheticsComputer scienceWorld Wide WebArt

Abstract

fetched live from OpenAlex

Hospitals communicate their values, positions, and future goals to the public through their strategic plans. The language and images used in these reports reflect each hospital’s distinct identity. Three hospitals in Toronto, Canada were selected to explore how this identity is communicated through their strategic plans. Using a poststructuralist, pattern-based discourse analysis, a common theme of “Hospital as Community Builder” emerged. All three hospitals used visual and verbal storytelling to anthropomorphize themselves, connect with the community, and foster a sense of ownership and belonging. By incorporating storytelling into their strategic plans, the hospitals transform a historic identity as sterile, institutional bodies into a modern identity as facilitators of community connection.

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
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 head0.151
GPT teacher head0.475
Teacher spread0.324 · 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

Citations0
Published2022
Admission routes4
Has abstractyes

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