Articulating Our Very Unfreedom: The Impossibility of Refusal in the Contemporary Academy
Bibliographic record
Abstract
This paper begins and ends with a provocation: I argue that refusal in librarianship is both impossible and necessary. Reviewing examples of crisis narratives which permeate both American and Canadian universities, I take a materialist perspective on the idea of refusal within academic librarianship. To do so, I draw on the work of Audra Simpson, Kyle Whyte, Eve Tuck, Mario Tronti, and Rinaldo Walcott to examine the sites of impossibility of refusal in the practice of academic librarianship within contemporary neoliberal education institutions. Then, I analyze the totality of capitalism in setting the limit for the practice of refusal through case studies of direct action, including the Icelandic Women’s Strike of 1975 and the 2020 Scholar Strike Canada. Finally, I identify private property and history as key frames for understanding the contradiction at the heart of refusal of crisis. As such, any refusal that does not address the centrality of labour and private property relations can thus be understood as harm reduction rather than emancipation. Ultimately, I argue that for librarians to refuse would require an abandonment of liberalism as librarianship’s guiding philosophy, and a redefinition of librarianship as such.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: no | Theoretical or conceptual | medium |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.049 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.052 | 0.254 |
| Scholarly communication | 0.030 | 0.027 |
| Open science | 0.004 | 0.023 |
| Research integrity | 0.011 | 0.017 |
| Insufficient payload (model declined to judge) | 0.004 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".