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Record W2899580162 · doi:10.1093/geroni/igy023.1991

THE PROBLEM WITH NO SOLUTION? EXPLORING UNWANTED SEXUAL ATTENTION IN RESIDENTIAL LONG-TERM CARE

2018· article· en· W2899580162 on OpenAlexaffabout
Alisa Grigorovich, Pia Kontos

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsDementiaHarassmentPsychologyContext (archaeology)Human sexualityNursingClinical psychologySocial psychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Although unwanted sexual attention has been linked with care providers’ negative health and occupational outcomes, limited research has explored this in the context of long-term care homes. The purpose of this ethnographic study was to explore how care providers in one home in Ontario, Canada understood and responded to unwanted sexual attention from residents, and to explore how individual experiences were shaped by organizational and structural factors. Data collected includes participant observation and in-depth interviews with providers (n=25) across multiple professions and roles, as well as a discursive analysis of relevant documents. While participants reported multiple types of sexual attention and that these were uncomfortable or unwanted, they rarely reported these formally as they perceived these as unavoidable aspects of care work. Participants normalized sexual attention as a dementia-related symptom or mental pathology, and did not believe that systemic prevention was possible. As a result, they typically ignored sexual advances, distracted or redirected residents, and focused on completing their tasks. They also reported a lack of formal education and training regarding the management of unwanted sexual attention and expressed the desire for more assistance with managing sexual dynamics in practice. Our analysis suggests that participants’ normalization of unwanted sexual attention is driven by reductive legal mechanisms for prevention of sexual harassment, as well biomedically focused dementia care education and training. Implications of these findings for policy and practice will be discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.350
Teacher spread0.290 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2018
Admission routes2
Has abstractyes

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