On Stones, Ethical Failures, and Epistemological Wormholes: A Conversation between Suzanne Kite, Jennifer Biddle and Florencia Marchetti
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
This three-way conversation reflects on practice-based research and the thinking-making of artist, composer, and academic Suzanne Kite (Oglála Lakȟóta), in the context of a Social Sciences and Humanities Research Council of Canada (SSHRC) transnational research project on sensory new media. Departing from Kite’s award-winning collaborative article ‘Making Kin with Machines,’ the sculpture Ínyan Iyé (Telling Rock) and its different iterations, the dialogue explores questions related to ethical and epistemological engagements with humans and non-human beings, including family members, machines, stars, and stones. What does Kite’s Oglála Lakȟóta inspired ‘listening without ears’ mean and do? What can this kind of listening teach us about the relationships between humans and technologies? What critique of otherwise assumed universal or neutral ethics of machine-based learning and digital models of knowledge come from her listening to and creating with non-human beings? How do these practices speak to current debates on Indigenous Data Sovereignty? The article speculates on transformations in sensory and embodied primacies of ontologies of perception in Kite’s thinking-making practice, offering clues as to how differential capacities for engaging with AI, digital knowledge, and machines in hyper-localised modalities might emerge.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it