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Record W7118054157

Connecting the Dots: The Leggotype and Canadian Nation-Building in Canadian Illustrated News (1869-1883) & l’Opinion publique (1870-1883)

2022· other· en· W7118054157 on OpenAlexaboutno aff
Michelle Macleod

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyInterpretation (philosophy)PhotographyComparative historical researchProcess (computing)
DOInot available

Abstract

fetched live from OpenAlex

This dissertation is a rigorous investigation of the photo-mechanical processes developed by William Augustus Leggo and their use in the weekly illustrated journals, Canadian Illustrated News (CIN) and l’Opinion publique (OP), published by George-Édouard Desbarats in Montreal, Quebec in the late nineteenth century. Although the English- and French-language journals shared the same publisher, they were never translations of one another. They did, however, occasionally share images. These illustrations were often framed by the associated text differently, both materially and conceptually. This art historical study, which prioritizes the production and interpretation of the illustrations published in both journals, contributes to Canadian photography history, as well as the cognate fields of history, visual culture, nationalism, and communications. Employing methodologies developed from extensive primary research, this investigation begins with biographical studies of Leggo and Desbarats to establish a temporal and contextual groundwork for the journals. Then, an in-depth study of Leggo’s patents brings to light as much specification as possible on his proprietary printing processes. Patents for the Leggotype and Leggo’s Granulated Photography, primarily used in CIN and OP, are assessed in comparison to other contemporary photo-mechanical processes. Next, a historiographical analysis of the Leggotype reveals that from conception into the twenty-first century, the process was frequently tied to Canadian nation-building. How this manifests in the promotion, reporting, and historical study of the Leggotype and the journals is a key contribution of this dissertation. Therefore, it is explored in two ways in the final chapters. First, a material analysis of one issue from both journals demonstrates the subtle and overt ways post-Confederation nation-building goals were presented in both image and text to each linguistic community. Second, the serialized portrait galleries of the journals’ are compared. Who was selected, omitted, and relegated to the margins of this canon reveals the implications of photography-derived illustrations in relation to the complex parameters of settler-colonial identity in the nineteenth century. Prominent amongst Canada’s early illustrated periodicals, CIN and OP appeal to scholars in a variety of disciplines. This dissertation provides a solid platform for future researchers by framing its contents in the highly informative context of the journals’ languages, technology, editorial ambitions, and materiality.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.660

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0200.016
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.034
GPT teacher head0.275
Teacher spread0.241 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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