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Record W4392106551 · doi:10.1386/btwo_00095_1

Mourning Septembers: A micro poetic-narrative autoethnography of teaching planners

2023· article· en· W4392106551 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

VenueBook 2 0 · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAutoethnographyNarrativePoetryIdentity (music)LiteratureFavouriteMeaning (existential)Reading (process)The artsSociologyAestheticsArtVisual artsPhilosophyGender studiesEpistemologyLinguisticsTheology

Abstract

fetched live from OpenAlex

I was recently very moved while reading ‘Constructing identity by writing roots into life: A poetic autoethnography’ by Andrew J. Garbisch in which he used a poetic-narrative autoethnography to explore his lived experience as a transracial Asian American adoptee. In it, he shares four of his original poems, following each with a narrative reflection. Favourite lines include the conclusion of his poem, ‘Allegory of the Tsohg’: ‘But you’re not supposed to hear any of this, I should really hush,/ Otherworldly, I’m sorry, I’ve already said too much’. Although I feel largely distanced from much of what is discussed in this piece, including adoption and experiencing the world as a person of colour, I was nevertheless struck by this project and many moments resonated, especially how his efforts to ‘construct meaning of [his] own identity’ was a somewhat ‘haunting endeavor’ (39). He inspired me to try and write a piece that ‘take[s] a bird’s eye view’ (43) of my educator journey and self – that is, how I am wrangling with reconciling that my years in academia have now eclipsed my previous time spent as a secondary English teacher. Because I have found arts-based research methods, such as narrative and poetic inquiry, to be quite generative (see, e.g. Author 2022, 2020, 2019, 2018a, 2018b), I immediately understood Garbisch’s piece as an inspiring mentor text – an exemplar of sorts for how to write to wrestle with the (albeit completely differently) somewhat haunting identity work that I find myself moving through presently. I love his bringing together of methodologies that I have used independent of one another but had not yet melded before. As such, his approach, structure and exercise in vulnerable arts-based work largely inspired this ‘micro’, snapshot-style project, which is also built on my learning from arts-based researchers, poets and storytellers I admire (e.g. Clandinin and Connelly 2000; James 2009, 2017; Sameshima et al. 2017; Faulkner 2019; Prendergast et al. 2009, among others). They have taught me a great deal, including how poetic inquiry can be a way of living in the world (Leggo cited in Irwin et al. 2019) and that narrative inquiry might consist of telling stories from our past that lead to possibilities of retellings and potential futures (Clandinin and Connelly 2000); such teachings also deeply inform this piece.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.178
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.027
GPT teacher head0.394
Teacher spread0.367 · 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