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Record W2793003218 · doi:10.18432/ari29358

“Blackboxing it”: A Poetic Min/d/ing the Gap of an Imposter Experience in Academia

2018· article· en· W2793003218 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsShamePoetryFeelingBridge (graph theory)Vulnerability (computing)SociologyMeaning (existential)Psychological resilienceAestheticsPsychologyPsychoanalysisLiteratureSocial psychologyArt

Abstract

fetched live from OpenAlex

Entering academia is a journey often fraught with many intense emotions, including shame, self-doubt, and fear. As such, this exploratory paper aims to expose and “dwell poetically” (James, 2009) on such feelings of novice academics, particularly the “imposter syndrome” experience, through an act of creative vulnerability and meaning making. Employing critical poetic inquiry, this paper offers and examines found poetry mined from a first year language and literacy education PhD student’s early academic writing. This poetry writing was done while simultaneously “minding the gap” existing in the “black box” of the PhD experience (Stanley, 2015), and framed through the lenses of the “personal” as “political” (Hanisch, 2000) and shame resilience theory (Brown, 2006), resulting in a poetry “cluster” (Butler-Kisber & Stewart, 2009) that “speaks shame” (Brown, 2006), composed with the aim to invite comfort, connection, and community, particularly with emerging scholars.

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.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.342
GPT teacher head0.565
Teacher spread0.223 · 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