MétaCan
Menu
Back to cohort
Record W4386154514 · doi:10.18432/ari29644

Engaging Resistance

2023· article· en· W4386154514 on OpenAlexvenueno aff
Meredith R. Gringle

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsResistance (ecology)Phenomenology (philosophy)SociologyQualitative researchPoetryEpistemologyPsychologyAestheticsLinguisticsSocial scienceArtPhilosophy

Abstract

fetched live from OpenAlex

In this article, I discuss the ways that contending with my own resistance around being a mother while researching mothers/mothering, inspired and shaped a study on maternal self-care. Using Judith Butler’s Gender Trouble (2006) as a beginning guide, I discuss how I developed a poetic hermeneutical phenomenology, which emerged as a way out of my resistance and into a deeper relationship with the texts and substance of my project. The purpose of the article is not to present findings; instead, I express my personal and theoretical rationale for the study, offer up my methodology, and provide examples of the poetic performances that steered my analyses. I also reflect upon the ways that I became folded within this project and how my own positionalities affected, and were affected by, engaging in this work. Lastly, I issue a call for qualitative researchers to make explicit our connections to our research, and to interrogate how these connections relate to our goals and gazes.

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)0.017
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.020
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.043
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0120.020
Scholarly communication0.0120.011
Open science0.0030.022
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0200.007

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 head0.817
GPT teacher head0.731
Teacher spread0.086 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueArt/Research International A Transdisciplinary JournalSame topicParticipatory Visual Research MethodsFrench-language works237,207