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Record W3043210780 · doi:10.20360/langandlit29457

Narrative Inquiry as Relational Research Methodology and Andragogy: Adult Literacy, Identities and Identity Shifting

2020· article· en· W3043210780 on OpenAlex
Sandra Jack-Malik, Janet L. Kuhnke

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueLanguage and Literacy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsCape Breton University
Fundersnot available
KeywordsAndragogyNarrativePedagogyLiteracyTUTORIdentity (music)CurriculumContext (archaeology)Narrative inquirySociologyPsychologyAdult educationAestheticsLinguistics

Abstract

fetched live from OpenAlex

Using narrative inquiry as a relational methodology and as andragogy, the research puzzle was to deepen understanding of the experiences of women, living with limited literacies and as they engaged in tutoring. This work animates the temporal, curriculum and life making experiences of a tutee and tutor within the context of adult literacy with a focus on learning to write. As the study progressed and as trust developed, tension filled stories were experienced, shared and reimagined. Thinking through the lens of Dewey’s continuity of experience we demonstrate the links between literacies, curriculum making, and efforts to shift identities. Field texts provided textured and nuanced descriptions of narrative inquiry as andragogy, while supporting the tutee to expand her literate identity and the tutor to become more relational. This work invites readers to reimagine the ways in which educators practice alongside adults who are described as struggling readers and writers.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.172
GPT teacher head0.545
Teacher spread0.373 · 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