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Record W3046949836 · doi:10.25071/1916-4467.40585

One Path, Four Travellers: A PhD Journey of the Mind, Heart, Body and Spirit

2020· article· en· W3046949836 on OpenAlexaffvenue
Allison Tucker, Jessica Poff, Melanie Manitowabi, Angie Bruce

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsNipissing University
Fundersnot available
KeywordsAcknowledgementTransformative learningMillerSociologyNarrativeContext (archaeology)Personal developmentPedagogyPsychologyArtComputer scienceHistory

Abstract

fetched live from OpenAlex

As PhD students in Education Sustainability at Nipissing University, the authors each experienced a personal process of becoming and knowing (Absolon, 2011; Miller, 2019). This paper draws on journal entries, personal narratives, various significant artifacts and uses an autoethnographic (Bochner & Ellis, 2016; Holman et al., 2013) process. The paper offers a counternarrative to the solely academic PhD experiences. We consider how holistic learning engages the whole person and is deep, rich and sustaining (Archibald, 2008; Miller, 2000; Sterling, 2001). Through an exploration of how one path was shared by four travelers and personally understood, it is also an opportunity to reimagine learning (Sterling, 2001) as relational and personally meaningful journeys of mind, heart, body and spirit (Wilson, 2008). It focuses on relational learning (Battiste, 2013), communities of trust (Palmer, 1998), inter-sectionality, acknowledgement and acceptance of many ways of being. In this paper, four graduate students share humanized, educational experiences rooted in Indigenous ways of knowing and relationality that are personally constructed and transformative in nature. Their experiences bring about new ways of understanding themselves and extend it to an emergent and deepening understanding of their world views and of who they are as researchers, writers and learners. The four interconnected papers explore each student’s learning journey as it was understood in this context, at this time in life and within this community of learners.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.087
GPT teacher head0.288
Teacher spread0.201 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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