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Record W3214243341 · doi:10.32920/ryerson.14663106.v1

"Viele herzliche grüsse" : with heartfelt greetings: translating and cataloguing a German WWI postcard album

2021· preprint· en· W3214243341 on OpenAlexaff
Elizabeth Li Hung Chiang

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGermanDigitizationPortraitHandwritingGeorge (robot)Visual artsCatalogingComputer scienceArtArt historyLibrary scienceHistoryArtificial intelligenceArchaeologyTelecommunications

Abstract

fetched live from OpenAlex

Individual and Group Portraits Germany WWI is an album of postcards from the First World War that contains fifty-nine silver gelatin photographic postcards and two mechanically printed picture postcards. The album was compiled by an unidentified individual. Twenty-six of these postcards have handwritten correspondence, which are written by several authors but addressed to the same person. This thesis is an applied project that focuses on cataloguing the images in The Museum System (TMS), the George Eastman House collection database. The goal of this project is to make the album more accessible to researchers through cataloguing and digitization of the images, and translation of the correspondence. This paper provides contextual research about the First World War, photographic postcards, and German handwriting. The paper will also discuss the cataloguing methodology and includes an illustrated appendix with full catalogue records.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.005

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 head0.033
GPT teacher head0.264
Teacher spread0.231 · 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
Published2021
Admission routes1
Has abstractyes

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