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Record W4390462919 · doi:10.29173/pathways50

Art and Archaeology

2023· article· en· W4390462919 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenuePathways · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsMacEwan UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsFoundation (evidence)ArchaeologyVisual artsObservational studyHistoryArt

Abstract

fetched live from OpenAlex

Observational skills provide the foundation for both drawing and archaeological techniques. Drawing was frequently employed within archaeology as a recording technique or to produce technical illustrations for published academic papers. However, in recent years the widespread use and adoption of digital photography and 3D imagery has resulted in a decline of its use and such skills are now only briefly considered in archaeological teaching as practical and worthwhile endeavors. This paper considers the role drawing can have within archaeology and suggests that drawing is a useful tool to aid in critical observation. With the integration of specialist interviews, an art workshop experiment was created. This workshop experiment was created to explore drawing as a learning technique in which to aid in developing the observational skills of undergraduate archaeology students. The results of this study suggest that drawing is a useful mode of observation, one that enables researchers to gain a deeper understanding of what they observe, that it can be used to see.

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.

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 categoriesInsufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.961
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.063
GPT teacher head0.220
Teacher spread0.157 · 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