Bibliographic record
Abstract
The MFA thesis exhibition “Xantolo” tells the story of and reflects upon my experiences within resistance culture and my Xicano culture as a way of life. The show features a multidisciplinary collection of Mexican altares, paintings, installations, soundscape, and synthesizes the worlds of radical activism and Indigenous cultural resurgence. My thesis question asks: Why hasn’t a robust movement against ecological exploitation, ecological collapse, and climate change emerged? I look inward at my own experiences living on the land and fighting oil/gas pipeline projects on unceded Native land occupied by Canada. I analyze our collective inability to imagine, plan, and act in response to ongoing ecological collapse. My thesis challenges the naturalization of capitalism and offers an alternative in land-based and Indigenous frameworks of responsibility, direct action, and harmony with the natural world through a deeper understanding of life and death. I channel the sacred ceremony of Xantolo practiced from ancient Mexico and its hybridized resurgence with contemporary Xicanos today. The ceremony which is commonly referred to as the “Day of the Dead” offers an alternative perspective on death, ancestors, and reverence; a timely framework for a mainstream that avoids, conceals, and denies the lessons which death may teach. Using my experience within Indigenous resistance movements and my background of Xicano culture, I provide examples of activation in the face of denial, normalization of political resistance, and the resurgence of cultural practices that embrace death and argue that these practices could help to restore a more balanced natural order as we barrel toward a turbulent and unknown future.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".