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Record W3197099974 · doi:10.5539/ass.v17n9p49

A Moment of Self-Reflection: From Trauma to Self-Healing

2021· article· en· W3197099974 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicArts and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectivityAutoethnographySelf-reflectionSociologyReflection (computer programming)PsychologyPsychoanalysisSocial psychologyAestheticsEpistemologyArtPhilosophyGender studiesComputer science

Abstract

fetched live from OpenAlex

This article aimed to investigate how “selves” were created from the process of creating subjectivity. The research methodology is a qualitative research using autoethnography and life story telling. The self-reflection could bring back to the specific moments in the past, and analyze actions and thoughts. From the self-reflection, there are two conflicted selves; ‘liberated or independent’ self (from gender norms), and ‘self-in-cage’ or ‘self-in-society’ (which suppressed under “unseen cages” or social norms and religious belief unconsciously). This subjectivity can be considered as “an unfinished project” because the processes of creating liberated self and a self-in-cage are happening all the time. They were pushed and pulled again and again by society and even by own self. It cannot be seen as totally liberated or trapped in the unseen cages. They win and lose at the same time.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score0.988

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 studies0.0010.000
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 head0.036
GPT teacher head0.285
Teacher spread0.249 · 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