Feminist Electrifying Art as Challenging People to (Re)think Their Relationship to Electricity
Bibliographic record
Abstract
Feminist Electrifying Art as Challenging People to (Re)think Their Relationship to Electricity Abstract The need for decarbonization of energy production and the war in Ukraine has emphasized European's dependency over Russian oil and accelerated attention to the issues of the energy crisis in Europe. In Quebec, as electricity is powered mainly from hydropower, decarbonization has evaded proper considerations forgetting how this invasive energy production comes from and benefit settler colonialism. The pressing needs to address the energy crisis highlights its complexity and ongoing (mis)conceptions of electricity and its system within the general population. Electrical anthropologists have problematized western societies' understanding and conception of electricity as essential to (re)think our energy futures. Through an analysis of two case studies based on works of electrical art created by two women artists, this thesis analyzes how these works of art potentially challenge male dominant STEM practices by attending to the complexities and interconnectedness of electricity, its system, and the environment. The thesis argues that participants/listeners/viewers are challenged in their relationship to electricity (and its system) towards more responsible and response-able approaches. Drawing on feminist...
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.028 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".