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The Generic Evolution of Calendars and Inventories at the Public Archives of Canada, 1882-ca. 1975

2014· article· en· W2211462118 on OpenAlexaffabout
Jennifer Douglas, Heather MacNeil

Bibliographic record

VenueThe American Archivist · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHistoryBusinessPolitical scienceArchaeologyGenealogy

Abstract

fetched live from OpenAlex

This article is a historical study of calendars and preliminary and general inventories at the Public Archives of Canada (PAC) from the nineteenth to the mid-twentieth century. Using an organizing structure drawn from rhetorical genre studies, the authors examine the calendars and inventories across four dimensions (textual features, composing processes, reading practices, and social roles) to discover the ways in which these finding aids incorporated and expressed, both explicitly and implicitly, institutional, professional, and social values. The examination of the calendars and inventories suggests that they functioned as forms of cultural knowledge that shaped and were shaped by PAC's evolving understanding of what it meant to make its holdings accessible to the public and its sense of identity and purpose in relation to that public.

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)0.003
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.157
Threshold uncertainty score0.977

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0160.023
Science and technology studies0.0160.019
Scholarly communication0.0110.004
Open science0.0020.003
Research integrity0.0010.002
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 head0.010
GPT teacher head0.222
Teacher spread0.213 · 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

Citations4
Published2014
Admission routes2
Has abstractyes

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