Delinquent History: \nFor Sites of Transition
Bibliographic record
Abstract
“Delinquent History: For Sites of Transition” is a conceptual history \nproject carried out as a site-specific art practice. It engages the dialectical \nrelationship between urban heritage and real-estate development, critically \nconsidering how development strategically narrates history into its rationalized \nlogic of growth and change. This thesis revolves around four individual sitespecific \nprojects that quote specific histories into sites where those histories did \nnot originate, in order to interrogate how urban development often does the same. \nThe Leslie Street Spit in Toronto is taken as a case study from which to develop a \nnew theoretical framework called “Sites of Transition” – urban places that are in \nthe process of shifting from a former identity into a new one. After \ncontextualizing this case study and its related projects, this thesis undertakes an \nexamination of these elements in relation to discourse surrounding site-specific \nand conceptual art practice, as well as the narration of history.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".