Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this commentary responding to Sutherland's paper, I insist that human geographers must be explicit about the geographies we theorize from so as to avoid universalizing narratives. Engaging the work of Robyn Maynard and Leanne Betsamosake Simpson, I consider what forms of world-making are unaccounted for when post-capitalism is the sole analytic employed to envision the future. Then, I engage with Sutherland's explorations of hauntology and the atmospheric to consider how capitalism is haunted by colonial histories and how social movements evolve over time. Lastly, I respond to Sutherland's attention to desire, culture, and capitalism in his piece, drawing on the work of Brandi Summers to illustrate how capitalism's reliance on the ‘fungibility of people/place’ is also a deeply racialized logic. In sum, I question if post-capitalism is expansive enough to hold our collective imaginings of the future.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it