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Emerging Horizons, Part One. Amanda's Story: Wound Care

2022· article· en· W4402507924 on OpenAlex
Michael Lang, Catherine M. Laing

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Applied Hermeneutics · 2022
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMetaphorCraftNarrativeMeaning (existential)StorytellingHealth careSociologyParallelsDigital storytellingAestheticsVisual artsPublic relationsArtPsychologyPolitical scienceLiteratureEngineeringLawPedagogyPhilosophyOperations managementLinguisticsPsychotherapist

Abstract

fetched live from OpenAlex

This first installment of the Emerging Horizons series explores Amanda’s digital storytelling (DST) experience (please see the introductory editorial to the series, Crafting Meaning, Cultivating Understanding, to access the film). Although attenuated, Amanda’s involvement in the film provides valuable insight into important safeguards that should be in place when using DST in healthcare settings. Using the metaphor of broken bones and open wounds, this interpretive article highlights the importance of recognizing chaos narratives and unstoried emotions in the early stages of the DST process. It concludes with three practical “wound care” measures that can help safeguard participant wellbeing as they find, tell, craft, and share their digital story.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.046
GPT teacher head0.347
Teacher spread0.301 · 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