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Record W3047599211 · doi:10.25071/1916-4467.40540

Symposium: Critical Friendships, Poetic Relations: Weaving Inspirited Pathways Through the Academy

2020· article· en· W3047599211 on OpenAlexaffvenue
Jodi Latremouille, Stephanie Bartlett, Stacey Hanzel, Lesley Tait

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsUniversity of CalgaryThompson Rivers University
Fundersnot available
KeywordsPoetrySociologyPower (physics)NarrativeOppressionIndigenousPerformance studiesAestheticsMedia studiesLawLiteratureArtPoliticsAnthropologyPolitical scienceEcology

Abstract

fetched live from OpenAlex

In this symposium presentation, we explore how four women scholars are drawn to one another as a sustaining and life-giving practice in the hetero-patriarchal world of academia. Institutional attitudes, power, hierarchy and oppression (Betasamosake Simpson, 2014; Foucault, 2008; Kumashiro, 2002) hold both a visible and an invisible presence in the academy as individuals struggle with increasing workloads, institutional accountability and competition. We base our foundational understandings of these conditions in critical theory (Freire, 2000), and turn to ecology (Abram, 1996; Jardine, 2006; Macy & Brown, 2014) and Indigenous philosophies (Smith, 2012) for a response that is messy, heart-full, multivocal and rooted in good relations. We weave poetry and narrative writing to describe the well-worn pathways in the academy and to critically reflect on how we might step away from them to create fresh and renewed paths. Walking alongside each other in a courageous sisterhood, we see our criss-crossing footsteps, woven together like a braid, creating strength and new possibilities through relationships. We engage Indigenous and literary métissage (Donald, 2012; Hasebe-Ludt et al., 2009) as a form of life writing (Richardson & St. Pierre, 2005) and we will invite our audience into a dialogue that explores the deep influence of these relations on our well-being and success on our personal and academic journeys.

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 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)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.100
GPT teacher head0.375
Teacher spread0.276 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

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