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Record W4232866903 · doi:10.32920/ryerson.14656164.v1

A Proposed Management Plan for the New World Archaeology Department's Photographic Archive at the Royal Ontario Museum

2021· preprint· en· W4232866903 on OpenAlexaffabout
Tracy Mallon-Jensen

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsToronto Metropolitan UniversityRoyal Ontario Museum
Fundersnot available
KeywordsPlan (archaeology)DilemmaCollections managementIdentification (biology)Object (grammar)Library scienceCollection developmentHistoryArchaeologyComputer science

Abstract

fetched live from OpenAlex

This practical thesis project addresses the dilemma faced by many museums of deteriorating archival photographs that are related to objects in their permanent collections. Collection managers often have little time, expertise or financial means to preserve these important resources. The first part of the thesis provides a guide to assessing and devising a management plan using a collection of 25,000 images in the New World Archaeology department of the Royal Ontario Museum as a case study. The guide addresses the physical issues of object identification, condition assessment, materials and methods of rehousing a diverse collection, and creating a proper storage environment. It also examines issues of improving intellectual access through cataloguing and digitizing as well as budgeting. A report summarizing the condition of the New World Archaeology collection accompanied by recommendations for implementation of a management plan is the focus of the second part of the thesis. This project highlights the need for institutions to recognize the value of these deteriorating materials and devote the necessary resources to their preservation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.664
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.000

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 head0.032
GPT teacher head0.239
Teacher spread0.206 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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