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Record W4414991154 · doi:10.32920/30324364.v1

Rehousing, Digitizing, and Cataloguing the J.M. Baillargeon Lantern Slide Collection: Capturing 19th Century Canada in Magic Lanterns

2025· preprint· en· W4414991154 on OpenAlexaboutno aff
Marzieh Benyasin

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLanternDigitizationMAGIC (telescope)CentennialPhotographyGeneral partnership

Abstract

fetched live from OpenAlex

In partnership with the special collections at Toronto Metropolitan University Libraries, this applied thesis investigates preservation techniques for the J.M. Baillargeon lantern slide collection. The Photographic Historical Society of Canada (PHSC) received a collection of lantern slides from Rev. Joseph Marc Baillargeon, including his commercial slides mainly labeled "Canadian Pacific Railway" (CPR) or "Canadian National Railway" (CNR). Baillargeon's images depict his diverse interests, from sportsmanship to flora, with a focus on rural areas in Ontario, Quebec, and Western Canada. It applies three preservation techniques—rehousing digitization and item-level cataloguing—to the 316 hand-coloured black and white commercial lantern slides from the collection. In addition, it proposes a preservation plan in order to improve future care and facilitate easy access for researchers and scholars to the collection.

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)0.002
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 score0.175
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0060.002
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.003

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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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
Published2025
Admission routes1
Has abstractyes

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