MétaCan
Menu
Back to cohort
Record W4391616239 · doi:10.32920/25164416

Cataloguing and Rehousing Storage Locker Films at Canadian Filmmakers Distribution Centre

2024· preprint· en· W4391616239 on OpenAlexaffabout
Kexin Liu

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsScholarshipLibrary scienceArtArt historyComputer graphics (images)GeographyOperations researchEngineeringPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

This thesis is an applied cataloguing project for Canadian Filmmakers Distribution Centre. CFMDC withdrew many films from their collection, but they were not properly processed, remaining in a storage locker for years. This project aims to identify, catalogue, and rehouse these films. The objective of this applied project is to catalogue the films from the storage locker while also conducting research on deaccessioning films and providing preservation and housing recommendations for CFMDC. This thesis is divided into four chapters: the first chapter gives an introduction to CFMDC and explores how the films came to be in the storage locker. The second chapter offers a brief introduction to 35mm and 16mm films in general and summarizes the scholarship on film cataloguing and deaccessioning films. Chapter three provides the details of the catalogue processing. Chapter four develops a strategy for deaccessioning films for CFMDC and offers recommendations for preserving and housing the films.

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)0.002
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.072
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.008
Science and technology studies0.0130.002
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0720.007

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 head0.019
GPT teacher head0.187
Teacher spread0.168 · 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
GenreOther

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

Explore more

Same topicDigital and Traditional Archives ManagementFrench-language works237,207