MétaCan
Menu
Back to cohort
Record W4289333774 · doi:10.1057/s41599-022-01272-8

Invertebrate research without ethical or regulatory oversight reduces public confidence and trust

2022· article· en· W4289333774 on OpenAlexafffundabout
Michael W. Brunt, Henrik Kreiberg, M.A.G. von Keyserlingk

Bibliographic record

VenueHumanities and Social Sciences Communications · 2022
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsFisheries and Oceans CanadaGovernment of CanadaUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsThematic analysisPublic trustLikert scalePsychologyStakeholderLow ConfidenceValue (mathematics)Qualitative researchPublic relationsSocial psychologyPolitical scienceSociologySocial scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract Ethical and regulatory oversight of research animals is focused on vertebrates and rarely includes invertebrates. Our aim was to undertake the first study to describe differences in public confidence, trust, and expectations for the oversight of scientists using animals in research. Participants were presented with one of four treatments using a 2 by 2 design; terrestrial (T; mice and grasshoppers) vs. aquatic (A; zebrafish and sea stars) and vertebrates (V; mice and zebrafish) vs. invertebrates (I; grasshoppers and sea stars). A representative sample of census-matched Canadian participants ( n = 959) stated their confidence in oversight, trust in scientists and expectation of oversight for invertebrates on a 7-point Likert scale. Participants’ open-ended text reasoning for confidence and expectations of oversight were subjected to thematic analysis. Participants believed invertebrates should receive some level of oversight but at two-thirds of that currently afforded to vertebrates. Four primary themes emerged to explain participant expectation: (1) value of life, (2) animal experience, (3) participant reflection, and (4) oversight system centered. Confidence in oversight was highest for TV (mean ± SE; 4.5 ± 0.08) and AV (4.4 ± 0.08), less for TI (3.8 ± 0.10), and least for AI (3.5 ± 0.08), indicating the absence of oversight decreased public confidence. Four themes emerged to explain participant confidence, centered on: (1) animals, (2) participant reflection, (3) oversight system, and (4) science. Trust in scientists was similar for TV (4.3 ± 0.07) and AV (4.2 ± 0.07), but higher for TV compared to TI (4.1 ± 0.07) and TV and AV compared to AI (4.0 ± 0.06); absence of oversight decreased public trust in scientists. These results, provide the first evidence that the public believe invertebrates should receive some level of oversight if used for scientific experiments. The gap that exists between current and public expectations for the oversight of invertebrates may threaten the social licence to conduct scientific research on these animals.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.522
GPT teacher head0.463
Teacher spread0.059 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueHumanities and Social Sciences CommunicationsSame topicAnimal and Plant Science EducationFrench-language works237,207