Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.024 | 0.007 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.080 | 0.017 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".