Bibliographic record
Abstract
This article addresses the practice of disinterment in Guatemala City’s public cemetery. The city has grown too fast and too many people have been killed. The cemetery is now at its limits. There is no more room. This problem of space has meant a reimagining of liberal ideals in the midst of a neoliberal moment, making the cemetery’s disinterment policy ever more aggressive. And while disinterment has always been policy, it is the pace of disinterment today that is exceptional. Once a loved one fails to pay the cemetery dues, the body is disinterred. This event does not erase a corpse’s personhood so much as reconstitute it just enough to announce that the corpse no longer belongs. It is this concomitant reconstruction of personhood and of not-belonging (of exile, of marginality, of trash) that echoes key aspects of Guatemalan citizenship today. This is how and why the disinterred corpse both affirms and denies the liberal virtues of order and progress, of purity and danger, of security and space, with a harried, free market exchange of death for more death, of one body for another.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.039 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".