Bibliographic record
Abstract
"The Employee is a publication of critical texts and first-person testimonials by artists and cultural workers reflecting on the links between public funding, artistic commitment, and self-exploitation in their practices and labour contexts. The book is edited by Joshua Schwebel and Lauren Wetmore and includes contributions by the editors, Mariane Bourcheix-Laporte, Teresa Carlesimo, Bopha Chhay, Dana Kopel, Michelle Lacombe, Denise Ryner, Camille-Zoé Valcourt-Synnott, and Marina Vishmidt, with graphic design by House9. The Employee emerges from its namesake artwork, a conceptual project of institutional critique by Joshua Schwebel that took place at Forest City Gallery in London, ON (2020-2021). FCG is one of Canada’s first artist-run centres and has been publicly funded for almost 50 years, yet is staffed by a single, part-time employee whose disproportionate workload is not uncommon in the sector. To realize The Employee, Schwebel obtained funding from the Canada Council for the Arts to hire a performer, delegated to write funding applications on behalf of FCG, as a structural and performative reflection on the ambivalent and extractive echoes between art, work, and reproductive labour. Ultimately, none of the employee’s grant applications were successful. As a subsequent artistic gesture, a comprehensive archive of emails connected to The Employee can be seen at www.the-employee.com. This archive constitutes a trace of the artwork and documents the continuous administrative labour of communication involved in cultural work. The Employee gratefully acknowledges the support of the Canada Council for the Arts and the European Union / Goethe-Institut." -- Editor'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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.185 | 0.091 |
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".