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Record W2104643735 · doi:10.1525/ap3a.2002.11.1.191

Chapter 12. Spatial Narratives of Death, Memory, and Transcendence

2002· article· en· W2104643735 on OpenAlexaff
Aubrey Cannon

Bibliographic record

VenueArcheological Papers of the American Anthropological Association · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNarrativeRepresentation (politics)PoliticsPerspective (graphical)Transcendence (philosophy)Scale (ratio)Function (biology)SociologyPerceptionHistoryCognitive psychologyEpistemologySocial psychologyAestheticsPsychologyComputer sciencePolitical scienceGeographyLiteratureCartographyArtLawArtificial intelligence

Abstract

fetched live from OpenAlex

Analysis of the spatial and historical dimensions of mortuary expressions, and explicit recognition of their basis in personal, social, and symbolic memory, are the foundations of an emerging approach to the archaeology of death. Spatial representations of death are viewed in this perspective as elements in the ritual creation and maintenance of personal and social memories of the dead to serve the needs and interests of the living. Examination of a wide range of case studies shows that the scale and form of mortuary expressions are a function of the social and political scale for which memories are relevant and the circumstances in which their representation remains meaningful and effective. The growth and transformation of these expressions over time can therefore be read as a historical narrative of individual choices made in response to spatial representations of the immediate past and perceptions of current and anticipated social and political circumstances.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.019
GPT teacher head0.214
Teacher spread0.195 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2002
Admission routes1
Has abstractyes

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