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Record W4389117731 · doi:10.55016/ojs/ajer.v66i4.56992

Reconciliation of Philosophical Perspectives to Address Autoethnographic Methodological Concerns

2020· article· en· W4389117731 on OpenAlexaffvenue
Timothy Sibbald, Victoria Handford, Lloyd Kornelsen

Bibliographic record

VenueAlberta Journal of Educational Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of WinnipegThompson Rivers UniversityNipissing University
Fundersnot available
KeywordsAutoethnographyNarrativeSociologyNarrative inquiryEpistemologyConstructiveHumanitiesPsychologyPhilosophyProcess (computing)LinguisticsSocial scienceComputer science

Abstract

fetched live from OpenAlex

An instance of editorial work was found to address methodological issues at the juncture of autoethnography and narrative inquiry. The particular case is reported because it addresses the conceptual basis of known methodological issues. The case involved interactions between a chapter author and editors of a book as well as between the editors. Although the chapter was autoethnographic as initially submitted, through the use of research-oriented open-ended questioning, the editors engaged with the author causing the author to gain a deeper insight and richer narrative regarding his own experience. The result bridges the gap between autoethnography and narrative inquiry. Interactions between the editors were directed at providing constructive support while leaving ownership of the narrative with the author. The process has features overlapping and distinct from duoethnography. An empirical explanation is proposed through the reconciliation of philosophical stances of the author and editors. Key words: Autoethnography, narrative inquiry, emergent design, duoethnography, editorial methodology Un exemple de travail éditorial a permis d’aborder des questions méthodologiques à la jonction de l’autoethnographie et de l’enquête narrative. Le cas particulier à l’étude porte sur la base conceptuelle de questions méthodologiques connues. Le cas implique des interactions entre l’auteur d’un chapitre et les éditeurs d’un livre, ainsi que des interactions entre les éditeurs. Bien que le chapitre ait été autoethnographique lors de la soumission initiale, l’emploi par les éditeurs de questions ouvertes axées sur la recherche et communiquées à l’auteur lui a permis d’arriver à des connaissances approfondies et à un récit enrichi relativement à ses propres expériences. Les résultats jettent un pont entre l’autoethnographie et l’enquête narrative. Les interactions entre les éditeurs visaient à apporter un appui constructif tout en permettant à l’auteur de conserver son récit. Certaines caractéristiques du processus chevauchent la duoethnographie; d’autres s’en distinguent. Nous proposons une explication empirique née de la réconciliation des positions philosophiques de l’auteur et des éditeurs. Mots clés: autoethnographie, enquête narrative, modèle émergent, duoethnographie, méthodologie éditoriale

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.159
metaresearch head score (Gemma)0.144
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.841
Threshold uncertainty score0.841

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1590.144
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.005
Science and technology studies0.0110.039
Scholarly communication0.0270.017
Open science0.0030.013
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.539
GPT teacher head0.557
Teacher spread0.018 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

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