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Record W2207152442

Explaining Ourselves: 40 Years of Archivaria

2015· article· en· W2207152442 on OpenAlexfundaboutno aff
Laura Millar

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
FundersSimon Fraser University
KeywordsArchivistMilestoneRelevance (law)Archival sciencePostmodernismLibrary scienceIdentity (music)Political scienceSociologyHistoryMedia studiesLawArtLiteratureAestheticsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In 2015, Archivaria and the Association of Canadian Archivists both celebrate 40 years of existence. This anniversary coincides with another milestone from 1975: the publication of To Know Ourselves, the report of the Commission on Canadian Studies (also known as the Symons Report), which identified Canadian studies as a critical tool in the quest for an understanding of Canadian identity. In keeping with the Symons Report’s call for self-knowledge, this overview article explores four specific themes addressed in the pages of Archivaria over the past four decades: first, the role of archival education and the question of whether an archivist in fact needed a formal education, and if so, what should be studied; second, the nature of the archival profession and the debate about whether the archivist was and should be a historian, information manager, librarian, or other; third, the nature and relevance of archival theory and the discussion of what such theory comprised and how definitive it might be in a postmodern age; and fourth, the history of the profession in Canada and internationally, and the exploration of how records, archives, and archivists have evolved in Canada and elsewhere in the world over many centuries. The article concludes by calling for more exploration of these same themes, which remain as valid today as they have been over the past four decades as a means of helping archivists in Canada and around the world “explain ourselves.” RÉSUMÉ En 2015, Archivaria et la Association of Canadian Archivists fêtent tous deux leurs 40 ans d’existence. Cet anniversaire coïncide avec un autre événement marquant de 1975 : la publication de Se connaître, le rapport de la Commission sur les études canadiennes (aussi connu comme le rapport Symons), qui identifia les études canadiennes comme un outil crucial dans la quête pour comprendre l’identité canadienne. Conformément à l’appel de connaissance de soi lancé dans le rapport Symons, cet article panoramique explore quatre thèmes spécifiques abordés entre les pages d’Archivaria au cours des quatre dernières décennies : dans un premier temps, le rôle de l’éducation en archivistique et la question à savoir si un archiviste a, en fait, besoin d’une éducation formelle, et si oui, ce qui devrait être à l’étude; dans un deuxième temps, la nature de la profession archivistique et le débat à savoir si l’archiviste était et devrait être historien, gestionnaire de documents, bibliothécaire, ou autre; dans un troisième temps, la nature et la pertinence de la théorie archivistique et la discussion à propos d’en quoi consiste ce champ théorique et si la théorie est définitive ou non à l’ère postmoderne; et dans un quatrième temps, l’histoire de la profession au Canada et dans le monde, et l’exploration des façons dont les documents d’archives, les centres d’archives et les archivistes ont évolué au Canada et ailleurs dans le monde sur plusieurs siècles. Cet article se termine en lançant un appel pour une étude plus poussée de ces mêmes thèmes qui demeurent tout aussi valides aujourd’hui qu’ils ne l’ont été au courant des quatre dernières décennies, dans le but de permettre aux archivistes au Canada et à travers le monde de « se connaître ».

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)0.030
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.743

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0430.061
Scholarly communication0.0270.015
Open science0.0020.019
Research integrity0.0060.014
Insufficient payload (model declined to judge)0.0070.001

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 head0.034
GPT teacher head0.208
Teacher spread0.174 · 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.

Study designNot applicable
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

Citations1
Published2015
Admission routes2
Has abstractyes

Explore more

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