MétaCan
Menu
Back to cohort

Emerging Horizons, Part Three. Kelsey’s Story: Breaking Cancer’s Grasp

2022· article· en· W4402507902 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.
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
KeywordsNarrativeFeelingReflexivityStorytellingGRASPMeaning (existential)PsychologyPsychoanalysisAestheticsSocial psychologySociologyPsychotherapistArtLiteratureComputer science

Abstract

fetched live from OpenAlex

This third installment of the Emerging Horizons series explores Kelsey’s digital storytelling (DST) experience (please see the introductory editorial, Crafting Meaning, Cultivating Understanding, to access the documentary film on which the series is based). In addition to providing a compelling exploration of a relatively common occurrence of Adolescent and Young Adult (AYA) cancer survivors, delayed diagnosis, Kelsey’s involvement in the film illustrated the potential for DST to help participants explore, name, and represent their inner emotional experience. Her storyline illuminated how difficult it can be for AYAs to both understand their “true feelings” and share them with others in a way that moves beyond a surface level, “hashtag” description of emotion (e.g. #sad). I (Lang) conclude by discussing how the three primary modes of narrative engagement in the DST process (external, internal, and reflexive) could help AYAs cultivate a deeper understanding of their emotional cancer experiences, and in doing so, break cancer’s grasp on their life, by grasping it instead.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.500
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.369
Teacher spread0.313 · 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