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Record W2985243456

For the Purpose of Accountability: The Need for a Comprehensive Recordkeeping Act

2019· article· en· W2985243456 on OpenAlexaffabout
D. Richard Valpy

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsAccountabilityLegislationPolitical scienceDocumentationPublic administrationDemocracyDocument management systemBusinessHumanitiesPoliticsLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

The adoption of digital technologies has been sudden, pervasive, and global in scope.A consequence of this paradigm shift is the threat these technologies pose to the effective accountability of our public institutions.Given the fundamental importance of accountability to democracy, and the central role records play in documenting accountability, records management cannot be discretionary.It must be a matter of law.The requirements of an effective records management system mirror those of the financial management systems used by governments across Canada.Modern financial management systems are comprehensive regimes, which have developed over decades.They incorporate legislation, policy, procedures, standards, and the means to verify compliance.To create a similar regime for the management of records as sources of evidence, governments need to establish strong, enforceable legislation and policies, and the creators, managers, and users of information need to apply standards-based approaches to all aspects of the care of information and evidence.1 I owe a great debt to Dr. Laura Millar whose editing skills were invaluable throughout the writing of this paper.I also would like to thank the two anonymous reviewers who made several useful suggestions that improved the quality of the paper.

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)0.000
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 score0.904
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.037
GPT teacher head0.226
Teacher spread0.190 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2019
Admission routes2
Has abstractyes

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