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Record W4405386005 · doi:10.33137/ijournal.v10i1.44533

Moving and Rehousing the Tanned Mammal Skin Collection at the Royal British Columbia Museum

2024· article· en· W4405386005 on OpenAlexvenueaboutno aff
Arden Hody

Bibliographic record

VenueThe iJournal Student Journal of the Faculty of Information · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsMammalArchaeologyArtGeographyZoologyBiology

Abstract

fetched live from OpenAlex

The tanned mammal skin collection at the Royal British Columbia Museum (RBCM) consists of over 300 specimens that have been stored suspended in a refrigerated room between 4°C and 10°C since 1967. The RBCM research collection is moving to a new off-site research and collections facility in 2026, creating a rare opportunity to address pressing housing challenges. As part of this project, the tanned mammal skin collection will transition to 18°C +/- 2°C, RH 50% +/- 5%, flat storage. Projects of this scope are uncommon, and therefore under-published, due to the significant amount of time, money, and space that they require. Sharing the challenges and outcomes of this project will benefit other institutions that may wish to undertake a similar project within their own collections. The project is summarized in this report in three sections (hazards, materials, and workflow) and concludes with broadly applicable lessons learned.

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)0.011
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.756
Threshold uncertainty score0.485

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.005
Science and technology studies0.0080.003
Scholarly communication0.0080.004
Open science0.0040.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0890.058

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 head0.006
GPT teacher head0.219
Teacher spread0.213 · 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 designNot applicable
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

Citations0
Published2024
Admission routes2
Has abstractyes

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