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American Gravemarkers and Memorial Assemblages

2019· reference-entry· en· W2950746275 on OpenAlexaff
Holly Everett

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPerformative utteranceEmbodied cognitionIdeologyAestheticsHistoryDynamismOpposition (politics)FolkloreSociologyBinary oppositionAnthropologyArtLiteraturePoliticsEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

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 <italic>lieux de memoire</italic> are more holistically understood in relation to each other, as elements of dynamic memorial complexes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.236
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.038
GPT teacher head0.328
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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