Towards an Ethics of Unity: An Ecological Approach to Overcoming Dispossession in Academic Libraries
Bibliographic record
Abstract
Crisis narratives are stories meant to persuade that one exists in a state of emergency. Under extractive capitalism, crisis narratives frame the scope of ethical behaviour in response to crisis. Once set, these crisis ethics promote conformity in labour practices to avoid catastrophe. Surrendering the means to self-define priorities, values, and identity of the academic library profession creates a more pliable work force. This essay uses critical and philosophical methods to apply lessons learned from landscapes ruined by extractive capitalism to professional library practice fractured by alienation, diremption, and dispossession. A critique of the exploitation of ethics of fear and hope is offered, along with a method for identifying these as they appear in crisis narratives. The essay concludes with a recommendation to pursue an ethics of unity, predicated on promoting flourishing through professional mutualism, dedication to direct action, and a focus on sustainability.
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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 | 0.024 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.035 | 0.177 |
| Scholarly communication | 0.030 | 0.024 |
| Open science | 0.004 | 0.029 |
| Research integrity | 0.008 | 0.009 |
| 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, 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".