Art and Waste in Panniqtuuq (Pangnirtung), Nunavut.
Bibliographic record
Abstract
The Art and Waste in Panniqtuuq Exhibition explores the ways Inuit Nunangat is a site where differing ideologies, epistemologies and cosmologies collide, and hegemonic assumptions marginalize Inuit ways of knowing and being (Zahara & Hird, 2016). Inuit have identified waste as a serious environmental, social and health threat. This collaborative, participatory community project interrogates the concept of waste (broadly defined as both tangible and intangible) in Panniqtuuq and asks who decides what is waste and who is responsible for the myriad of waste-related issues. An ad hoc collective of Inuit artists has produced art to animate personal and collective stories about their lived experiences to provide a counter-narrative to prevailing beliefs about Inuit and waste. I have created an installation - made of waste about waste from my perspective as a PhD candidate, waste researcher, and cis-gendered, white settler Canadian. I reversed my scholarly gaze and used research-creation to interrogate historical processes and deeply rooted white settler-colonialist assumptions, including those I have internalized and benefited from, linking these to barriers to Inuit sovereignty and rights to a healthy and safe environment. The portfolio of related work culminates in knowledge mobilization through public scholarship - a co-created touring art exhibition and critical accompanying pedagogical texts to raise awareness, encourage dialogue and call for urgent action in response to the historical, present and imagined future of waste in Panniqtuuq, integral to Canada’s commitment to Truth and Reconciliation.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".