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Record W4293064814 · doi:10.32920/19749976

Personal illness experience of my adolescent self: a narrative inquiry self-study

2022· preprint· en· W4293064814 on OpenAlexaff
Sophia Aksenchuk

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNarrativePsychosocialLiminalityAutonomyPsychologyNarrative inquiryPersonal identityIdentity (music)Personal developmentErikson's stages of psychosocial developmentNarrative identitySelfPersonal narrativeSocial psychologyDevelopmental psychologyPsychotherapistSociologyAestheticsLiterature

Abstract

fetched live from OpenAlex

Building on Dewey’s philosophy of experience, our personal and professional lived experiences are mutually informing. Thus, personal illness experiences may impact how we engage in professional roles. In this self-study, using Connelly and Clandinin’s Narrative Inquiry, I explore my experience of an eating disorder as an adolescent, and how this experience informs my nursing practice today. I crafted stories of my illness experience often using poetic prose. I analyzed these using the three levels of justification (personal, practical, social) through the theoretical lens of Erikson’s psychosocial stages of development. Four narrative threads (impulsivity: response to losing control, lack of autonomy, liminality, lack of meaningful relationships) emerged and coalesced into three narrative patterns (control, belonging, identity). This self-study provides healthcare professionals an understanding of the impact a stigmatized illness may have on one’s professional role. My intention is to inspire others to enter their own inquiry into their experiences of illness.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0090.010
Scholarly communication0.0070.006
Open science0.0010.007
Research integrity0.0020.005
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 head0.070
GPT teacher head0.405
Teacher spread0.335 · 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 designQualitative
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

Citations4
Published2022
Admission routes1
Has abstractyes

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