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Awake anon the tales of valour: the career of a war memorial in St. Catharines, Ontario

2009· article· en· W1992686856 on OpenAlexafffundvenueabout
Russell Johnston, Michael Ripmeester

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHonourIdeologyBattleHistoriographyPoliticsWatsonHistorySpanish Civil WarSociologyMedia studiesLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Memorials cultivate a common understanding of the past that is communicated through the celebration of select people, places or events. Because memorials are located in public space and crafted from time‐defeating materials, the process of commemoration is inherently political. Scholars have studied this process to discover the agendas that inform the ideological content of memorials, but rarely how this content is received by its audience. This question is especially pertinent when memorials outlast the generation and the ideology that created them. This study attempts an answer by exploring the career of one memorial: the monument in St. Catharines, Ontario, dedicated to Private Alexander Watson, a casualty of the Battle of Batoche (1885). It finds that the monument's significance was transformed by political, cultural and historiographical shifts. While its local audience has forgotten its specific message, its generic intent to honour fallen soldiers is still recognized.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.523

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0430.009
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.010
GPT teacher head0.193
Teacher spread0.183 · 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

Citations6
Published2009
Admission routes4
Has abstractyes

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