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Record W4414771387 · doi:10.24908/lhps.v4i1.18741

Stories Worth Preserving

2025· article· en· W4414771387 on OpenAlexaffabout
Erin Berry, Brett Bertelsen, Colson Swinarchin, Claire Cowley, Coralie Lajoie, Destiny DeJong

Bibliographic record

VenueLiving Histories A Past Studies Journal · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsCarleton University
Fundersnot available
KeywordsOral historyNewspaperPublic historyLocal historyCultural heritageCharacter (mathematics)Comparative historical research

Abstract

fetched live from OpenAlex

As students in Carleton University’s History department, in the Fall of 2023, we were invited to collaborate on historical projects around Ottawa. Our group was tasked to create a report for the Centretown Community Association as part of the process to petition the City of Ottawa for a Heritage Conservation District in West Centretown. In this report, we detail three stories within the proposed district boundaries which argue for the protection of historical locations. This article aims to condense this research to share West Centretown's history with a broader audience. These three stories include the beginnings of the area, beloved community locations, and character profiles of West Centretown residents. Our research includes an oral interview, use of newspaper archives, and existing local knowledge to demonstrate the significance of preserving vibrant communities within the broader Ottawa context. Our findings were that a Heritage Conservation District would be entirely beneficial for preserving the buildings responsible for the rich culture and history of West Centretown.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.018
Scholarly communication0.0080.008
Open science0.0010.009
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.016
GPT teacher head0.255
Teacher spread0.239 · 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
Published2025
Admission routes2
Has abstractyes

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