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Record W2891656379 · doi:10.1002/ev.20346

The Evolving Market for Systematic Evaluation in Canada

2018· article· en· W2891656379 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

VenueNew Directions for Evaluation · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAccreditationProfessionalizationContext (archaeology)Supply and demandGovernment (linguistics)Supply sideBusinessExploratory researchAffect (linguistics)Public relationsMarketingEconomicsPolitical scienceEconomic growthSociologySocial science

Abstract

fetched live from OpenAlex

Abstract The professionalization of evaluation and the need for educational programs and accreditation has taken on increasing importance in Canada over the 2000s. Central to these issues is the need to understand the nature of the evaluation industry, both from the “supply” and “demand” side. While there have been fragmented discussions about the nature of evaluation in the federal government (e.g., Lahey, 2010; Segsworth, 2005) and the provinces and territories (e.g., Gauthier et al., 2009), there remains a dearth of information about the nature and behavior of the evaluation industry in Canada as a whole. This chapter offers an exploratory investigation into the evaluation industry in Canada, examining both the demand and the supply side, along with a historical context that serves as a backdrop in understanding the current structure of the Canadian industry. The study examines how various factors affect market behavior, and reflects on considerations for the future of the Canadian evaluation industry.

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)0.038
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0380.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.183
GPT teacher head0.496
Teacher spread0.312 · 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