Bibliographic record
Abstract
As representations of mourning and beliefs about death, gravemarkers and memorial assemblages (also referred to as spontaneous shrines and makeshift memorials) are often cast in binary opposition, defined by temporal intention on the part of the maker(s). Gravemarkers have been studied for their materialization of ideological, socioeconomic, and aesthetic values and trends. As artifacts intended to be permanent, gradual changes in markers may provide a record of the twin forces of folklore, conservatism and dynamism, at work in shaping themes in funerary practices over time. In contrast to gravemarkers, memorial assemblages are marked as ephemeral, underscoring human mortality. Folkloristic research seeks to understand the participatory and performative nature of both markers and assemblages, noting the memorial, celebratory, and other communicative intentions and possibilities embodied by ritual and assemblage in addition to considerations of form. Moreover, these lieux de memoire are more holistically understood in relation to each other, as elements of dynamic memorial complexes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.001 |
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".