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Record W2792554902 · doi:10.1558/firn.35670

Renegade Researchers, Radical Religions, Recalcitrant Ethics Boards

2018· article· en· W2792554902 on OpenAlexaffabout
Susan J. Palmer

Bibliographic record

VenueFieldwork in Religion · 2018
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsMcGill University
Fundersnot available
KeywordsBureaucracyResistance (ecology)Research ethicsAccountabilityNegotiationHarmMandateSecrecyPolitical sciencePublic relationsSociologyLawEngineering ethics

Abstract

fetched live from OpenAlex

Since the rise of the new “ethics culture” in the USA and Canada, there has been a noticeable decline in field research on new, controversial religions and social movements. This study examines some of the new administrative obstacles to research, as experienced by twelve researchers in the course of negotiations with their ethics boards (“REBs” in Canada, “IRBs” in the U.S.) for ethics approval regarding projects involving “human subjects”. The twelve informants’ critiques of their ethics committees, conveyed in interviews, fall into eight categories: (1) unnecessary delays; (2) poor communication skills; (3) excessive concern for potential risk; (4) impeding spontaneity and flexibility in field research; (5) secrecy, immunity and lack of accountability; (6) the hierarchical relationship; (7) REBs exceeding their mandate; (8) disregard for the well-being of human subjects. On the basis of these interviews (and previous studies), the strategic responses of North American researchers to obstacles posed by ethics committees might be analyzed as corresponding to four types: capitulation, adjustment, resistance and reform. While capitulation appears to be a common response among graduate students, resistance appears to be widely practised among experienced researchers, who cooperate deceptively through “benign fabrication” or “gamesmanship”. This study explores the implications of the rise of this rapidly evolving “moral bureaucracy”, criticized by scholars for inhibiting field research through the delaying or halting of research projects, distorting methodologies, and discouraging initiative and originality. Finally, it is argued that the ethical concern for potential harm to human subjects must be balanced with the right of minority groups to be heard; to tell “their side of the story”.

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)0.020
metaresearch head score (Gemma)0.068
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.068
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.023
Insufficient payload (model declined to judge)0.0010.002

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 head0.245
GPT teacher head0.560
Teacher spread0.315 · 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 designNot applicable
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

Citations7
Published2018
Admission routes2
Has abstractyes

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