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Record W2313218716 · doi:10.14288/1.0096792

Canadian archives and the corporate memory : a case of amnesia?

2010· article· en· W2313218716 on OpenAlexaboutno aff
Grant Alan Mitchell

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsAmnesiaBusinessComputer sciencePsychologyCognitive psychology

Abstract

fetched live from OpenAlex

For some years North American archivists have argued that public archival repositories are unable to bear the burden of preserving the records of modern business corporations and have suggested that firms should shoulder this burden themselves by establishing corporate archives. This suggestion, however, fails to address the issue of preserving the records of small businesses, and the records of defunct firms, that are unable to support a corporate archives. Before one can predict the effect the advocates of corporate archives will have on the preservation of business records, one needs to know what degree of responsibility repositories have accepted for preserving business records. Unfortunately, little information has been published concerning the business records holdings of Canadian archival institutions. A questionnaire asking for information on acquisitions policies and strategies, and on the characteristics of business records collections, was therefore sent to federal, provincial, municipal, and university archives. The business records holdings of the Public Archives of Canada, the Provincial Archives of British Columbia, the City of Vancouver Archives, and the Special Collections Division of the University of British Columbia Library were examined in detail to augment the information obtained from questionnaire returns. The value of the business records collections held by Canadian repositories was further examined by means of a reference analysis of journal articles and monographs, published by economic and business historians, which measured the use made of business records collections by these historians. Although some substantial collections of business records have been preserved, it appears that over three quarters of the business records collections preserved by Canadian repositores are so small and fragmentary in nature that they are of dubious value to researchers. This impression is borne out by the sparse use of business records as sources by business and economic historians. The experiences of European and American archival institutions indicate that Canadian repositories will have to accumulate a significant body of business records collections before they will see increased use of their business records holdings. Repositories cannot reasonably be expected to devote their limited resources to collecting the records of large integrated corporations. Nonetheless, archival institutions have a responsibility to ensure the preservation of records documenting the Canadian economy. Archival institutions, and the archivists they employ, should continue their efforts to persuade companies to set up corporate archives. Many firms, however, are unwilling or unable to take such a step. Canadian repositories must therefore continue to acquire business records if they wish to fulfil their mandates of preserving comprehensive collections documenting the various aspects of the history of their respective regions. This must be done in an active and systematic manner, using such strategies as public relations programs and the provision to firms of assistance in scheduling records. By persuading larger corporations to set up corporate archives whilst systematically collecting the records of smaller firms, archival institutions can improve both the quantity and quality of business records preserved.

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0340.029
Scholarly communication0.0070.005
Open science0.0030.007
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0070.000

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 head0.010
GPT teacher head0.137
Teacher spread0.127 · 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 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

Citations1
Published2010
Admission routes1
Has abstractyes

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