Single Motherhood, Media, Methods, And Messiness: Exploring Virtual Reality As A Tool For Autobiographical Expression
Bibliographic record
Abstract
This research/creation project documents my experiences of living as a single mother with minimal financial, family, and social support. Since research suggests that virtual reality (VR) can generate heightened empathetic response in users, I chose to develop my story using VR as the primary creative tool. This study required engagement with the creative and methodological approaches of arts-based research—a process of learning-by-making that prompts questions and reflections on ethics, techniques, aesthetics, value, and subjectivity. The finished project, then, is an exploration of my journey not only as a single mother, but also as a researcher exploring emerging technological affordances and their capacity to engender empathy and serve as tools of autobiographical expression. In this way, the work could further be understood as contributing to the emerging field of autotheory, in which the researcher’s subjective and embodied experience is integrated with theoretical and philosophical approaches.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".