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Record W2163998785 · doi:10.3138/cjpe.0023.002

Organizational Capacity To Do and Use Evaluation: Results of a Pan-Canadian Survey of Evaluators

2009· article· en· W2163998785 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2009
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsNational Research Council CanadaAtlantic Canada Opportunities AgencyUniversity of Ottawa
Fundersnot available
KeywordsRespondentPsychologyStakeholderKnowledge managementOrganizational learningContext (archaeology)Descriptive statisticsExploratory researchSocial psychologyApplied psychologyPublic relationsSociologyPolitical scienceComputer scienceSocial scienceGeography

Abstract

fetched live from OpenAlex

Abstract: Despite increasing interest in the integration of evaluative inquiry into organizational functions and culture, the availability of empirical research addressing organizational capacity building to do and use evaluation is limited. This exploratory descriptive survey of internal evaluators in Canada asked about evaluation capacity building in the context of organizational characteristics (learning, support structures), evaluative activity and use, and variables that mediate use. We received a total of 340 usable responses to an online survey. This article provides a descriptive account of the findings with a cursory look at differences across respondent role, organization type, and self-reported perceived level of evaluation knowledge. Results showed a pattern of moderately high ratings of organizational learning and support functions, the extent to which evaluation is being conducted and used, and stakeholder involvement in evaluation. Some differences across respondent roles, organization type, and evaluation knowledge were observed. Results are discussed in terms of an agenda for future inquiry.

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)0.049
metaresearch head score (Gemma)0.043
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0490.043
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
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 head0.444
GPT teacher head0.502
Teacher spread0.058 · 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