Bibliographic record
Abstract
Abstract On 17 April 1996, police opened fire on more than 1,500 unarmed protesters of the Landless Workers’ Movement (MST) in Southeast Pará, Brazil, killing nineteen and wounding seventy‐nine. Two years later, Osias, one of the wounded survivors, awoke to find that he had written a messianic prophecy, which he decided to share because it contained ‘a lot of reality’. This article explores what conditioned Osias's expectation that his text could provoke public reflections on reality. As such, it engages with a question unexplored by current scholarship: why the will to publicity might be inextricable from secularity, which I define as the condition of living with secularization, understood in turn not as the rise of unbelief, but as the expansion of a domain of thought and practice distinguished from religion. The ethnography ultimately inspires a rereading of Asad's Formations of the secular , interrogates assumptions about the determining reality of ‘secularism’ and ‘politics’, and makes more visible how anthropological writing is shaped by secularity. With a postscript on the October 2018 presidential elections.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.034 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".