Tanya Lukin Linklater : Video clip : An Annotated Bibliography in Real Time : Performance Art in Quebec and Canada
Bibliographic record
Abstract
"Tanya Lukin Linklater's collaborative performances, videos and installations have been exhibited nationally and internationally. She was drawn to the relationships between the bodies, histories, poetries, pedagogy, Indigenous conceptual spaces and the languages and indigenous institutions. Her works have been exhibited and performed at the EFA Project Space + Performa, New York; at the Museum of Contemporary Art Santiago, Chili; at the Western Front, Vancouver and elsewhere. In 2016, she presented He was a poet and he taught us how to react and become this poetry (Parts 1 and 2) at the Biennale of Montreal – Le Grand Balcon, curated by Philippe Pirotte. In 2017, as member of the Wood Land School, she participated at Kahatenhstánion tsi na’tetiatere ne Iotohrkó:wa tánon Iotohrha/Drawing Lines in Montreal. The Wood Land School collective had also participated at Under the Mango Tree – Sites of Learning, a gathering for la documenta 14 in Athens and Cassel. Tanya's poetry, as ell as her essays have been published at the Whitney Museum of American Art Independent Study Program, amongst many other places.Tanya studied at the University of Alberta (M. Ed.) and received the Chalmers award on 2010 and the K.M. Hunter literature award in 2013." -- Publisher's website.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.024 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.054 | 0.005 |
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".