Bibliographic record
Abstract
This dissertation utilizes self-study, memoir, and art-making in the context of personal trauma in order to witness and examine the wound that comes from being an adoptee. Using my own experience as a woman, and as part of an adoption triangle, I journey beyond the traditional case study and statistical or psychological analysis where adoption is treated as a singular event, finite and quantifiable. I examine research and theory across disciplines, as well as literary and artistic forms, to situate my own experience of adoption, with the view to unearth dynamics of power, secrecy, repression, conformity and suffering that extend beyond the official adoption process. In particular, I focus on my experience of being an adult adoptee in Ontario who was part of the closed adoption system in existence from post World War Two until the recent opening of records. I use art-making in paper and glass, combining these with the objects and small bits of ephemera I possess to give aesthetic expression to the complexity of adoptive experience. I argue that the absence of adoptive representation can be addressed through social and cultural representation, and advocate for the artistic revisioning of adoption as a particularly powerful medium to give voice to unheard/untold stories through adoption art.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".