MétaCan
Menu
Back to cohort
Record W3110938766 · doi:10.1136/medethics-2020-106927

Considering sex robots for older adults with cognitive impairments

2020· letter· en· W3110938766 on OpenAlexaff
Andria Bianchi

Bibliographic record

VenueJournal of Medical Ethics · 2020
Typeletter
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsPublic Health OntarioUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsFeelingPsychologyRobotDutyHuman sexualityNarrativeCognitionQuality of life (healthcare)Developmental psychologySocial psychologyComputer scienceArtificial intelligencePsychotherapistPsychiatrySociology

Abstract

fetched live from OpenAlex

Determining whether and/or how to enable older persons with disabilities to engage in sex raises several ethical considerations. With the goal of enabling the sexual functioning of older adults with disabilities, Jecker argues that sex robots could be used as a helpful tool. In her article, ‘Nothing to be Ashamed of: Sex Robots for Older Adults with Disabilities’, Jecker acknowledges the importance of sexual functioning and the fact that ageist assumptions incorrectly classify older persons as asexual. Additionally, older adults may experience disabilities that negatively influence their sexual functioning, which is problematic since sex may be linked to the following capabilities: developing a meaningful life narrative; being healthy; experiencing bodily integrity; feeling and communicating emotions; affiliating with others and reflecting on and choosing a life plan.1 In accordance with Nussbaum’s capabilities approach,2 Jecker says that society has a duty to support these capabilities at a minimal threshold. And insofar as sexual functioning may be relevant to the capabilities for older adults with disabilities, then we need to respond accordingly. One way of achieving this aim is by providing access to sex robots. I agree that sex robots ought to be made available for older adults with disabilities. Nevertheless, the article inspires several areas for further exploration. As Jecker rightfully mentions, older adults are often incorrectly labelled as non-sexual. For instance, in their analysis of older individuals’ views on sex and quality of life, Gott …

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0070.023
Insufficient payload (model declined to judge)0.0010.000

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 head0.090
GPT teacher head0.415
Teacher spread0.325 · 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
GenreCommentary

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

Citations9
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical EthicsSame topicSexuality, Behavior, and TechnologyFrench-language works237,207