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Record W2014357589 · doi:10.1177/1098214011405311

Legislator Uses of Public Performance Reports

2011· article· en· W2014357589 on OpenAlex
James C. McDavid, Irene Huse

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

VenueAmerican Journal of Evaluation · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAccountabilityLegislatorGovernment (linguistics)Performance measurementDual (grammatical number)Key (lock)Public relationsBusinessPublic administrationAccountingPolitical scienceComputer scienceComputer securityMarketingLawLegislation

Abstract

fetched live from OpenAlex

A key assumption in efforts to implement and improve cross-government public reporting systems is that legislators will make use of the performance information to enhance accountability and improve program and policy effectiveness. This five-year study is an assessment of expectations and actual uses of annual performance reports by elected decision-makers in British Columbia, Canada. Our findings from three anonymous surveys indicate that while the legislators had high initial expectations, actual usage—measured in two follow-up surveys—showed substantial drops from expectations. Our findings are consistent with a growing body of evidence that there may be a paradox at the core of the public performance reporting movement: public reporting of targeted performance measures, although it may improve symbolic accountability, undermines the usefulness of the reported performance information for performance management. These findings have implications for jurisdictions using whole of government performance measurement and reporting systems for these dual purposes.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.235
GPT teacher head0.439
Teacher spread0.204 · 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