MétaCan
Menu
Back to cohort
Record W2093062308 · doi:10.1177/1356389012442445

A socio-political framework for evaluability assessment of participatory evaluations of partnerships: Making sense of the power differentials in programs that involve the state and civil society

2012· article· en· W2093062308 on OpenAlex
Hélène Laperrière, Louise Potvin, Ricardo Zúñiga

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.

Bibliographic record

VenueEvaluation · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversité de MontréalUniversity of Ottawa
Fundersnot available
KeywordsGeneral partnershipCitizen journalismParticipatory evaluationPoliticsPublic relationsCivil societyParticipatory action researchPower (physics)State (computer science)Political sciencePublic administrationSociologyComputer science

Abstract

fetched live from OpenAlex

Jointly conducted with a coalition of HIV/AIDS community-based organizations (CBOs), this evaluability assessment sought to better understand the factors that affect the feasibility of a participatory program evaluation to be undertaken in partnership with the CBOs’ non-governmental-organization members and public-health agencies. Participatory evaluations and partnerships are grounded in social and institutional authority structures that unavoidably influence researchers and evaluators. The construction of a theoretical framework for socio-political evaluability assessment of participatory evaluations is a necessary precondition for the coalition’s members to engage effectively in evaluation research with other partners.

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)0.047
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0470.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.568
GPT teacher head0.589
Teacher spread0.021 · 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