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Record W2485612778 · doi:10.1075/sin.11.02med

Weird stories

2010· book-chapter· en· W2485612778 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.

Bibliographic record

VenueStudies in narrative · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

In the literature on autobiographical narrative, self, and identity construction, many researchers have taken narrative coherence as an important feature that reflects and shapes identity and sense of self. Commonly, this feature is defined and assessed in isolation, as if at stake were an autonomous text. We argue this approach is too narrow to represent things as complex as narrative, self, and brain. We explain this argument in discussing narratives by individuals with serious neuropsychological challenges: people who, due to illness or disability, cannot fully rely on their neurocognitive and narrative resources for their identity construction. We offer a broader view of the issue of coherence in autobiographical narrative that goes beyond a decontextualized concept of narrative, especially, by including (i) the intersubjective context in which stories are told, (ii) the larger autobiographical context of their narrator, and (iii) the wider socio-cultural context in which narratives and narrators are situated. Using narrative excerpts from adults with acquired brain injuries and neurocognitive disabilities, we point out how what is seen as (narrative) coherence of one’s brain, mind, and self changes when these contexts are taken into account.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.562
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.097
GPT teacher head0.320
Teacher spread0.223 · 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