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Record W4387214409 · doi:10.1111/bioe.13223

Ethical challenges in research on sexual dysfunction

2023· article· en· W4387214409 on OpenAlex
Ariella Binik, Yitzchak M. Binik

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.

Bibliographic record

VenueBioethics · 2023
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsMcGill UniversityMcMaster University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychological interventionSexual dysfunctionPsychologyEthical issuesNothingConfusionResearch ethicsHuman sexualityEngineering ethicsSocial psychologyEpistemologyPsychiatryPsychoanalysisPolitical scienceLaw

Abstract

fetched live from OpenAlex

Despite more than a century of research on sexual dysfunction, there has been limited attention to ethical concerns. This is problematic because sex research involves complex ethical questions that generate confusion for ethics review and have not been addressed by ethical guidelines. We analyze two questions. First, does sexual content raise the risk profile of a research protocol? We argue that there is nothing inherent in sexual content that makes a study high risk and that many sexual dysfunction studies involve no more than minimal risk. Second, we ask whether research interventions that involve seeing participants undressed or having physical contact with a research subject are permissible? We argue that these interventions raise an important ethical challenge-they often involve sexual dysfunction researchers engaging in interventions that would not be conducted in their standard practice. To resolve this, we propose an expertise-based account of the permissibility of sexual dysfunction research.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.003

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 head0.786
GPT teacher head0.553
Teacher spread0.233 · 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