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Record W1997717001 · doi:10.7202/039788ar

Variations on the Theme of Remembering: A National Survey of How Canadians Use the Past

2010· article· en· W1997717001 on OpenAlexaffvenueabout
Gerald Friesen, D. A. Muise, David Northrup

Bibliographic record

VenueJournal of the Canadian Historical Association · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTheme (computing)Collective memoryEthnic groupReading (process)State (computer science)HistoryGender studiesSociologyMedia studiesPsychologyPolitical scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

This paper in collective remembering is based on a telephone survey of 3,419 adult residents of Canada. The questionnaire contains over 70 questions. The interviews average over 20 minutes in length. Part of the Canadians and Their Pasts project, the survey seeks to assess how Canadians use the past in daily life. How many engage in activities related to the past, such as reading books, viewing photos, or visiting museums and historic sites? How do they evaluate different sources of information about the past? What types of past — family, province, nation, ethnic group — are most important to them? The paper suggests that the construction and reconstruction of autobiographical memory is a fundamental aspect of one’s uses of the past. It also proposes that wider collective pasts are particularly important among members of minority and alternative groups. And that the past of the nation-state figures more prominently in these citizens’ reflections than Roy Rosenzweig and David Thelen observed in their similar study, The Presence of the Past: Popular Uses of History in American Life (1998).

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0080.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.067
GPT teacher head0.220
Teacher spread0.153 · 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 designObservational
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

Citations8
Published2010
Admission routes3
Has abstractyes

Explore more

Same venueJournal of the Canadian Historical AssociationSame topicOral History, Memory, Narrative AnalysisFrench-language works237,207