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Record W7103222433

Bawdy Tales

2020· dissertation· en· W7103222433 on OpenAlexaboutno aff

Bibliographic record

VenueCUNY Academic Works (City University of New York) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingTheme (computing)Agency (philosophy)Perspective (graphical)Element (criminal law)Identity (music)Key (lock)Social lifeNarrativeIsolation (microbiology)
DOInot available

Abstract

fetched live from OpenAlex

Hansu Siirala is a Finnish-Canadian craftsperson currently based in Vancouver, British Columbia, Canada. Twelve years ago at the age of fifty-five, she suffered two strokes, which paralyzed her left side and required her relocation to a long-term residential care facility. Via writings to her family, Hansu shares hilarious, bitingly sharp observations about life in the assisted care facility in Vancouver. Her stories chip away at social stigmas, make us laugh at ourselves, and celebrate life in unexpected ways. “Bawdy Tales” is a project that utilizes her writing as the foundation of a series of pieces hosted via a website, providing honest depictions of how one’s body interfaces with others when it is not in their full control. Hansu has never shied away from being crass, frank, or bawdy. She tells stories about her own farts, her lady parts, and poop. When told first hand, these stories redefine taboos as shared human realities. In this project, Bawdytales.net is used as a “skeletal” element and a framework to share Hansu’s perspective on feelings of isolation, the way she connects to family, her community, and the policies that shape the conditions in which she lives. Though the body is used as a theme for each story, Hansu’s stories defy what it means to be restricted physically. She uses humor, sass, and confidence to find agency and transcend her own physical limitations. “Bawdy Tales” includes animation, illustration, and video to create a platform for Hansu’s writing. As a result of her stroke, Hansu is partially deaf and blind. The site has been made with accessibility as a foundational principle in order for her, and those like her, to be able to experience it with ease.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.496
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.312
Teacher spread0.249 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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