Witnessing Indigenous Dispossession and Academic Arboricide: Visual Auto-Ethnography as Anti-Colonial Didactic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Indigenous and non-Indigenous academics are witnesses to the “more than human” ecological impacts of the academic condition, such as the deforestation that occurs in relation to infrastructure expansion of campus sites. In this essay, I use auto-ethnographic photography to evoke the necessity of academic answerability by framing the act of deforestation within the academic boundary as that of land theft and ecological conquest, with political, cultural, and epistemic implications. My visual narrative about my employing university begins with an archival image from the time of the clearing of the campus site, and is sustained by a visual inquiry process that examines the liminal zones of the campus as it expands into the surrounding forest. My intention in this photography-led research practice is to “witness” campus deforestation, seeing it as part and parcel of the colonial academic enterprise in situ.
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.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it