Bibliographic record
Abstract
This election dispatch is a selection of emails addressed by Montreal artist Chris Lloyd to Prime Minister Stephen Harper. They form part of a larger set of communications with the Prime Minister of Canada going back to 1 January 2001, and also a larger performance infiltration project, in which Lloyd secured the position of Conservative Party candidate in the riding of Papineau (Justin Trudeau’s riding) and campaigned for several months without being detected as a performance artist. The letters were posted on the project’s Dear PM blog along with photos of Lloyd rubbing elbows with Harper and other key figures in Canada’s Conservative Party. They remain important documents of Lloyd’s intervention, which continued after his campaign was exposed, in May 2015, as performance art and after he was subsequently removed as Conservative Party candidate and went on to run as an independent in the final months of the election. As Lloyd explains, this performance was designed to “test the limits of free speech and explore the possibilities of voicing independent views within the confines of an electoral system that privileges dominant party ideologies.” The letters also reveal the performative rituals on which the Conservative Party’s public relations machine and the wider electoral process depends.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.248 | 0.101 |
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".