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Record W1969861794 · doi:10.3138/chr.2389

Memory of a Bygone Era: Oral History in Quebec, 1979–1986

2014· article· en· W1969861794 on OpenAlexvenueaboutno aff
Jean‐Philippe Warren, Steven High

Bibliographic record

VenueCanadian Historical Review · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicData Analysis and Archiving
Canadian institutionsnot available
Fundersnot available
KeywordsCONTESTIdeologyOral historyMeaning (existential)Context (archaeology)HistoryNationalismPerspective (graphical)Relevance (law)SociologyAestheticsMedia studiesPolitical sciencePoliticsEpistemologyAnthropologyVisual artsLawArtPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Abstract: This research note analyzes a Quebec-based oral history contest, “Memory of a Bygone Era,” which collected nearly a thousand recordings in the 1980s. By returning to this impressive initiative, the co-authors aim to shed light not only on the particular understanding of the emergence of oral history in Quebec, but also on the social context that gave meaning and relevance to what was being “heard.” After describing the creation and operation of the contest, the different factors that led its organizers to support an endeavour that, in its size and ambition, has never been reproduced in Quebec, are analyzed. Vulgar Marxism, counter-cultural trends, Christian ideology, and nationalism all combined to justify and support the collection of an astonishing number of oral biographies that told the story of Quebec's past from the perspective of ordinary citizens. The attempt to give the voiceless a voice was not, therefore, without ideological implications and may help to explain both the initial success of the contest and the reasons that practically no one remembers this extraordinary initiative today.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.273
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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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
Published2014
Admission routes2
Has abstractyes

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