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Record W2969465980 · doi:10.1177/1747016119868900

A reflection on research ethics and citizen science

2019· article· en· W2969465980 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueResearch Ethics · 2019
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsWarrantResearch ethicsHarmEngineering ethicsConfusionInstitutionInstitutional review boardTerm (time)Political sciencePublic relationsPsychologyLawEngineering

Abstract

fetched live from OpenAlex

Ethics review of research involving humans has become something of an institution in recent years. It is intended to protect participants from harm and, to that end, follows rigorous standards. Given recent changes in research methodologies utilized in medical research, it may be that ethics review for some kinds of studies needs to be reexamined. The purpose of this paper is to stimulate dialogue regarding the kind of review required for citizen science-based research. We describe a case study of a proposal submitted to our research ethics board and propose different approaches to proportionate review in research involving citizen scientists. In particular, we describe how problems with the term “participant” led to confusion in review of this study and examine the study in light of current Canadian guidelines. We suggest that the term participant and indeed the general approach to low-risk community-based studies such as the one described warrant reexamination.

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)0.366
metaresearch head score (Gemma)0.545
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3660.545
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0030.011
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0030.109
Insufficient payload (model declined to judge)0.0000.002

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 head0.946
GPT teacher head0.788
Teacher spread0.158 · 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