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Record W4250756799 · doi:10.32920/ryerson.14653179

Finding Oceania : organizing a collection of Oceanic photographs and albums at the Art Gallery of Ontario

2021· preprint· en· W4250756799 on OpenAlexaffabout
Cassie Lomore

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsToronto Metropolitan UniversityUniversity of Waterloo
Fundersnot available
KeywordsStudioContext (archaeology)Settlement (finance)Visual artsPeriod (music)Art historyArt galleryHistoryArchaeologyGenealogyArtExhibitionComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The Oceanic Collection at the Art Gallery of Ontario (AGO) is comprised of photographic objects that reflect the social history of the Oceanic nations during the period after European settlement up to the mid-20th century. The anthropologist C.P. Mountford is the greatest single contributor in the collection. Other makers include Reverend Hamilton Aikin, press photographer Sam Hood and studio photographers Henry King, John William Lindt and Thomas Andrew. This thesis is an applied project, done to re-house, catalogue and gain intellectual control over the collection. Part I outlines the re-housing and cataloguing process, as well as the considerations and decision making behind the organization of the finding aid. Part II is the finding aid, containing eight sections that address the historical and social context in which the collection material was made. Three appendices include biographical information, complete catalogue records and a summary of Oceanic art and artifacts at the AGO.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.013
Science and technology studies0.0100.002
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0360.006

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 head0.022
GPT teacher head0.205
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations8
Published2021
Admission routes2
Has abstractyes

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