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Record W2870038896 · doi:10.1177/1077800418786309

Modes of Being: Mobilizing Narrative Inquiry

2018· article· en· W2870038896 on OpenAlexaff
Margaret Macintyre Latta, Leyton Schnellert, Kim Ondrik, Murray Sasges

Bibliographic record

VenueQualitative Inquiry · 2018
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsCognitive reframingNarrativePedagogyNarrative inquirySociologyExperiential learningCurriculumDocumentationCitizen journalismParticipatory action researchCommunity of practicePsychologyPolitical scienceSocial psychologyAnthropology

Abstract

fetched live from OpenAlex

Narrative inquiry’s capacities to reveal relational complexities and nuances of individuals and settings in varied contexts purposefully shape the lived curriculum within a community middle school setting. The experiential narratives of students, teachers, administrators, parents, and mentors contributing to the curricular documentation of the makings of this community have not only provided a medium to access these relations but also become an educative catalyst, opening into ongoing deliberations concerning the nature of education, knowledge, and what it means to be a community, by all involved. Grounded in Dewey’s primary notion of experience, participatory practices position each community member to bring their narratives of experience into the makings and remakings of community, elucidating modes of being and associated habits. Representative voices illuminate the mobilizing potential of narrative inquiry as a vital medium for reframing education within all institutions, communities, and beyond.

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)0.028
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.002
Science and technology studies0.0100.052
Scholarly communication0.0190.026
Open science0.0030.029
Research integrity0.0030.004
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 head0.309
GPT teacher head0.553
Teacher spread0.244 · 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 designQualitative
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

Citations6
Published2018
Admission routes1
Has abstractyes

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