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Record W4391172723 · doi:10.23880/whsj-16000203

Lifestyles are a Lot Greater Tough to Manage during Periods: Autistic Reports of Menstruation

2024· article· en· W4391172723 on OpenAlexfundno aff
Rehan Haider

Bibliographic record

VenueWomen s Health Science Journal · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsMenstruationPsychologyDevelopmental psychologyAutismMedicine

Abstract

fetched live from OpenAlex

Menstruation is an everyday organic process known to individuals as being female at the beginning, but it is an affair that has been underrepresented in the circumstances of neuro diversity, specifically within the autistic society. This study explores the occurrences and challenges confronted by autistic people in directing their menstrual cycles. Through concerning qualities, not quantities, interviews, and surveys, we composed dossiers from a variety of autistic shareholders, aiming to clear up their singular outlooks on period. The findings of our study imply that many autistic people encounter important troubles during their menstrual eras that can infuriate the challenges that guide their daily lives. These challenges are versatile and involve sensual feelings, troubles in communication, and executive functioning issues. Participants repeatedly stated profound tactile sensitivities superior to raised discomfort and olfactory encumber during periods. Additionally, ideas and challenges preclude their ability to seek support and express their needs efficiently. In answer to these challenges, partners join a variety of management actions, stressing the significance of routine, visual virus, and aural boardinghouse to help bureaucracy better navigate their menstrual periods. They again stressed the need for increased knowledge and support within the autistic community and with healthcare professionals. This study climaxes on the significance of recognizing the crossroads of autism and period, contributing understanding to the experiences and needs of autistic people, and this unrefined organic process. Promoting inclusive, patient focused care and support tailor made to the particular challenges met by autistic people during their period is important. Further research and instruction in this field are essential to advance the features of the history and health of autistic individuals and guarantee their singular needs are discussed, accompanied by empathy and understanding

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.038
GPT teacher head0.354
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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