Bibliographic record
Abstract
Beneath the shadow of the coronavirus pandemic, we have witnessed not only a global public health emergency but also other social crises, such as anti-Asian racism, the Black Lives Matter movement, etc. The pandemic has created an environment for potential social crises and has exacerbated existing social crises. However, when social and cultural crises explode, art responds to them. As an Asian artist who was educated in China and Canada, the existing social issues toward people of color inform my concerns about North American multiculturalism and my art practice. This thesis is divided into five sections: a brief introduction of the background of discrimination in North America and my art practices (Chapter One); the illustration of art appropriation, text-based and comic style artworks that influence my art practices (Chapter Two); how artists’ works reflect their position on social issues (Chapter Three); my thesis exhibition (Chapter Four); and my conclusion (Chapter Five). This paper, alongside the paintings created for my exhibition, explores the usage of appropriation in my art practice and the strength between original works and my recontextualization as well as the roots of racial discrimination and stereotypes.
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 | 0.003 | 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) | 0.072 | 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 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".