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Record W2529021752 · doi:10.1177/1469605316668451

Sharing deep history as digital knowledge: An ontology of the Sq’éwlets website project

2016· article· en· W2529021752 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Social Archaeology · 2016
Typearticle
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsAssembly of First NationsUniversity of British ColumbiaCanadian HeritageSimon Fraser University
Fundersnot available
KeywordsOntologyIndigenousWorld Wide WebSociologyRelation (database)HistoryComputer scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Ontology is the philosophical study of the nature of being, becoming, existence, and relation. This paper presents an ontology of the Sq’éwlets Virtual Museum of Canada Website Project, a project that has focused on creating a digital community biography of the Sq’éwlets First Nation ( www.digitalsqewlets.ca ). Based on several decades of community archaeology and the recent production of short video documentaries, the website presents a long-term perspective of what it means to be a Sq’éwlets person and community member today. We explore how this project came to focus on the nature of being Sq’éwlets; how community members conceived the nature, structure, and nomenclature of the website; and how this Sq’éwlets being-ness is translated for outside audiences. We suggest what lessons this approach has for anthropological conventions of naming and knowing as they relate to Indigenous histories, and consider how archaeological knowledge can be transformed into a digital platform within a community-based process.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.302

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.269
Teacher spread0.251 · 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