Bibliographic record
Abstract
Enough! insists there is enough for all. Creating such a future is not about producing more or living with less. Instead, it starts with rethinking our politics, economics and approach to livelihoods. Mary Lawhon and Tyler McCreary develop a “modest approach” to justice and sustainability, drawing on ecology and postcolonial theory, as well as their research on infrastructure in African cities and the Canadian north. The authors chart a pathway beyond modernist and arcadian environmentalisms, emphasizing uncertainty while holding onto hope for creating better worlds. The chapters tack between conceptual contours, concrete examples, proposed inventions, and personal narrative. Theorizing from the struggles of the global south and Indigenous peoples, Enough! proposes delinking livelihoods from work through a redistributive basic income, which enables enough without overreliance on modern states. It also enables us to prevent conflicts over jobs, reduce some types of production, and deploy resources towards building postcapitalist worlds.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.025 | 0.013 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.079 | 0.058 |
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; both teacher heads agree on what is shown here.
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".