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Record W2523855348 · doi:10.18533/journal.v5i9.990

Who Am I? Writing to Find Myself

2016· article· en· W2523855348 on OpenAlexaff
Kathleen McNichol

Bibliographic record

VenueJournal of Arts and Humanities · 2016
Typearticle
Languageen
FieldPsychology
TopicMental Health via Writing
Canadian institutionsAthabasca University
Fundersnot available
KeywordsCreative writingReflexivitySet (abstract data type)PsychologyPersonal developmentReflexive pronounContext (archaeology)Professional writingPedagogySociologyComputer scienceLiteratureArtPsychotherapistSocial science

Abstract

fetched live from OpenAlex

<em>Developmental creative writing and the related areas of expressive writing and therapeutic writing have only recently arisen as significant areas of study; however, although recent research has determined that writing is good for your health, just expressing oneself on the page isn’t enough to promote personal development. In this paper, I set out to answer the question – how is personal development achieved in the context of therapeutic writing? In order to answer this question, I consider many definitions of personal development and writing as outlined by experts in the associated fields of expressive writing, therapeutic writing and developmental creative writing, and I also review concepts of the self as I consider a related question – who am I? Through an in-depth analysis of my own personal writing about my sister’s mental illness, I conclude that writing for the purposes of personal development requires a conscious self-reflexive effort, with the goal of developing a deeper understanding of self, so as to promote positive change in the way that one perceives one’s own life. </em>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.093
GPT teacher head0.363
Teacher spread0.270 · 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 designNot applicable
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

Citations9
Published2016
Admission routes1
Has abstractyes

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