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Record W1017651387

Archives: Public Awareness and Engagement

2014· article· en· W1017651387 on OpenAlex
Craig Heron

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsYork University
Fundersnot available
KeywordsPublic engagementPolitical scienceBusinessPublic relations
DOInot available

Abstract

fetched live from OpenAlex

What does the public want and expect from archives?Pollsters report that there is an overwhelming consensus that old things should be kept.But as Jack Jedwab reports in his background paper for this Canadian Archives Summit, people are not so sure what to make of the archives themselves as repositories of our documentary heritage.Far too many of those polled are essentially unaware of what archives do, and only a small percentage of them have knowingly engaged with an archives.The polls tell us that this is particularly true for Library and Archives Canada (LAC).There is nonetheless a lot to build on in the popular consensus about the worthiness of archival recordkeeping.Over the past decade, a group of prominent Canadian historians oversaw a project (Canadians and Their Pasts) to interview some 3,400 Canadians about their consciousness of history.They discovered that a large proportion of them integrate historical consciousness into their identities and are likely to turn to institutions of memory to connect to their past and to invigorate the present and future.My own experience has confirmed that.Several years ago, I was part of a group that attempted to keep the United Church Archives at the University of Toronto.The groundswell of support that we encountered was astonishing, but so was the diversity of that support.People from widely different backgrounds came forward to proclaim the value of that institution for their own work -not just the professional historians and genealogists, as you might expect, but also novelists, journalists, artists, architects, musicologists, undergraduate students, and many more.I wonder to what extent archives recognize the breadth of their potential constituency and the importance of working with all of its members.Certainly over the past decade, the wave of digitization of certain archival records has encouraged an archival populism that invites Canadians to access the records

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.855
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.218
Teacher spread0.189 · 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