Spaces for interpretation: story telling in autobiographical fiction and visual art
Bibliographic record
Abstract
There is an innate human drive to share stories of self. In this thesis, I explore the idea of creating autobiographical fiction through written and visual art forms. A key challenge is how to tell a story based on a life event without disrespecting actual people or distorting recollected events. I begin by considering the concept of autobiography, the nature of memory, its close relationship to fiction, and the relationship between these, identity, and storytelling. I discuss the possibility of a more complete understanding of the story being told when an author also employs an alternative narrative form. Using myself as a subject, I engage in a form of autoethnography to create fictional short stories that have an autobiographical thread. Each story is accompanied by a work of visual art as further narration of the same story. I conclude by suggesting that using the two narrative forms of written and visual art provides an individual with the opportunity for an alternative perspective, which allows for a more clear understanding of self and position in the world. --Leaf ii.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".