Corpses to Cremains, Chickens to JPEGs: The Reception of Cremation and Related Rites by Hong Kong's Practitioners of Popular Religion
Bibliographic record
Abstract
This study investigates cremation in Hong Kong as well as a number of related practicesâ the use of columbaria, green burials, and the worship of ancestors online. Why these practices emerged is considered in addition to their promotion by the state and reception by practitioners of popular religion. It is demonstrated that cremation became accepted with little fuss for practical, political, and cultural-religious reasons. It is also shown that columbaria, although possessing desirable fengshui, are problematic in that they lack sites for worshiping Houtu and are becoming smoke-free. Green burials, campaigned for by the state and endorsed by ethicists, have been met with resistance because they involve scattering cremated ashes (viewed as harmful and/or disrespectful to the dead) and fail to provide ancestors with permanent places of rest. With regard to online worship, there has been little enthusiasm as it is does not concord with peopleâ s ritual sensibilities.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".