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Record W2561484476 · doi:10.25071/1916-4467.40316

Feeling My Way From the University Into the Wilderness and Back Again

2016· article· en· W2561484476 on OpenAlexaffvenue
Robert Kull

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsSolitudeFeelingAutoethnographyNarrativeWildernessEmbodied cognitionSociologyContext (archaeology)IntrospectionAestheticsMindsetPsychologyEpistemologyPsychoanalysisSocial psychologyGender studiesHistoryLiteratureArtArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

This narrative essay unfolds in two parts. Part 1—Feeling My Way into Embodied Research—reflects on my doctoral fieldwork, which involved living for a year in complete solitude in the remote wilderness of southern Chile. The life events that shaped this experience, including childhood, education, early career, and graduate studies, laid the physical, emotional, intellectual and spiritual groundwork for the project. A key challenge was to develop a methodology appropriate to the unusual context of my study. My methodology was grounded in mindful observation layered with analytic introspection, loosely based on autoethnography. Part 2 Feeling My Way into Embodied Writing—recounts the process of transforming my 900 page wilderness journal into a doctoral dissertation that was both academically rigorous and accessible to audiences. I abandoned the traditional academic approach of using a conceptual framework to organize the work in favour of a first person narrative, punctuated with analytic essays. Rather than write a dissertation about solitude, I let the voices of solitude speak directly to readers and evoke for them the actual experience as I had lived it.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.017
GPT teacher head0.260
Teacher spread0.243 · 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 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

Citations1
Published2016
Admission routes2
Has abstractyes

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