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Record W2780508894 · doi:10.29173/comp36

The existential imperative in narrating experience

2011· article· en· W2780508894 on OpenAlexaffvenue
Thea Luig

Bibliographic record

VenueCOMPASS · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNarrativeStorytellingExistentialismAgency (philosophy)SociologyCoherence (philosophical gambling strategy)Context (archaeology)Perspective (graphical)PsychologyEpistemologyAestheticsPerceptionLived experienceNarrative psychologyPhenomenology (philosophy)Social psychologyNarrative inquiryPsychoanalysisSocial scienceNarrative criticismLinguisticsVisual arts

Abstract

fetched live from OpenAlex

The idea that the act of narrating one’s experience, in particular reorganizing disruptive experiences into a coherent story, is conducive to well-being has become popular in the social sciences and in therapeutic practice. Ways of remembering and narrating draw on templates of the larger societal, historical, and cultural context and thus situate the memory of one’s particular experience within a collectively shared world. However, other voices argue that the driving force of storytelling is less the need for coherence or continuity, but rather the reconstruction of a sense of agency in intersubjective relationships. This paper will explore the question of what is at stake, what is existentially imperative, in the human practice of narrating experience. Using a phenomenological framework that pays attention to the intersubjective space of perception and experience, I will apply narrative approaches drawing on medical anthropolog y, linguistics, and psychology to my conversations with Mary, a long-time caregiver for chronically ill family members.

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)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.068
Scholarly communication0.0110.015
Open science0.0010.009
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.098
GPT teacher head0.268
Teacher spread0.169 · 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 designTheoretical or conceptual
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

Citations1
Published2011
Admission routes2
Has abstractyes

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