Bibliographic record
Abstract
Religion is a fundamental component of Puerto Rican society.A 2014 Pew Research Center survey reported that 99 per cent of Puerto Ricans believed in God, 86 per cent believed in hell, 76 per cent said religion was very important in their lives, and nearly half attended religious services at least once a week; only 10 per cent declared themselves neither Catholic nor Protestant. 1 From the cosmology of the Taíno to the wide array of Judaeo-Christian churches, synagogues, and sects and the syncretic religious worldviews of the practitioners of spiritism, santería, brujería, and the customers of the botánicas, religious practice in its many forms still permeates the lives of a large majority of present-day Puerto Ricans.But why is this of interest to me?I can claim to be Puerto Rican, having been born in Aguadilla, on the north-west tip of the island, to a Puerto Rican father and a French-Canadian mother.But I lived there only the first four months of my life, after which the family moved to Quebec, where I was raised by my mother, my father moving back to Puerto Rico when I was a pre-schooler.I first revisited Puerto Rico in 1979 to reconnect with my father and meet his side of the family.I am a historian, 2 so I learned a little of the island's history during that visit.I was struck by the similarities in
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.600 | 0.386 |
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".