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Record W2020304945 · doi:10.1002/pam.20141

Toward a more public discussion of the ethics of federal social program evaluation

2005· article· en· W2020304945 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Policy Analysis and Management · 2005
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Political sciencePublic administrationResearch ethicsSilenceEngineering ethicsPublic relationsLawEngineering

Abstract

fetched live from OpenAlex

Abstract Federal social program evaluation has blossomed over the past quarter century. Despite this growth, there has been little accompanying public debate on research ethics. This essay explores the origins and the implications of this relative silence on ethical matters. It reviews the federal regulations that generally govern research ethics, and recounts the history whereby the evaluation of federal programs was specifically exempted from the purview of those regulations. Through a discussion of a recent evaluation that raised ethical concerns, the essay poses—but does not answer—three questions: (1) Are there good reasons to hold federal social program evaluations to different standards than those that apply to other research?; (2) If so, what ethical standards should be used to assess such evaluations?; and (3) Should a formal mechanism be developed to ensure that federal social program evaluations are conducted ethically? © 2005 by the Association for Public Policy Analysis and Management

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)0.008
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.873
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.514
GPT teacher head0.624
Teacher spread0.110 · 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