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Record W1975673384 · doi:10.1002/meet.1450390112

The impact of the introduction of web information systems (WIS) on information policies: An analysis of the Canadian federal government policies related to WIS*

2002· article· en· W1975673384 on OpenAlex

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

VenueProceedings of the American Society for Information Science and Technology · 2002
Typearticle
Languageen
FieldComputer Science
TopicWeb Applications and Data Management
Canadian institutionsUniversité de SherbrookeUniversité de Montréal
Fundersnot available
KeywordsContext (archaeology)Government (linguistics)Policy analysisTreasuryInformation systemPublic policyBusinessComputer sciencePublic administrationPolitical science

Abstract

fetched live from OpenAlex

Abstract This communication presents the results of an analysis of the Canadian federal government information policies that govern its Web information systems (WIS). The goal of this study was to better understand how the Canadian federal government has adapted its information policies to the WIS. A side‐by‐side analysis of 53 policy instruments was done. The results indicate that the Canadian federal government has crafted new instruments to take into account the WIS context. These policies build upon generic information management and information technologies policy instruments. These policy instruments have a good coverage of the tasks underlying the WIS life‐cycle. Among the many players present in the policy instruments, one of the key player is the Treasury Board Secretariat that plays an important coordination and evaluation role.

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: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.007
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0020.000
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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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