MétaCan
Menu
Back to cohort
Record W1994642741 · doi:10.1080/00313831.2013.798833

A Return to Methodological Commitment: Reflections on Narrative Inquiry

2013· article· en· W1994642741 on OpenAlexaff
Vera Caine, Andrew Estefan, D. Jean Clandinin

Bibliographic record

VenueScandinavian Journal of Educational Research · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsNarrativeNarrative inquiryTemporalityNarrative criticismNarrative networkEpistemologySociologySocialityEducational researchPsychologyPedagogyLiterature

Abstract

fetched live from OpenAlex

In the 25 years since narrative inquiry emerged as a social science research methodology, it has been rapidly taken up in the social sciences. In what is sometimes called a “narrative revolution,” researchers with diverse understandings have co-opted the concept of narrative inquiry and used narrative inquiry or narrative research to name their methodology. In this paper, we lay out more clearly the ontological and epistemological commitments that underlay the methodological commitments of narrative inquiry. Within narrative inquiry, experience is viewed narratively and necessitates considerations of relational knowing and being, attention to the artistry of and within experience, and sensitivity to the overlapping stories that bring people together in research relationships. Working within the relational three-dimensional narrative inquiry space with dimensions of temporality, sociality, and place, we attend to the living, telling, retelling, and reliving of stories of experience.

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)0.366
metaresearch head score (Gemma)0.413
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score0.782

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3660.413
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0060.006
Science and technology studies0.0300.198
Scholarly communication0.0380.071
Open science0.0130.040
Research integrity0.0230.047
Insufficient payload (model declined to judge)0.0050.001

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 head0.937
GPT teacher head0.773
Teacher spread0.164 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
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

Citations318
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueScandinavian Journal of Educational ResearchSame topicParticipatory Visual Research MethodsFrench-language works237,207