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Record W2972477634 · doi:10.12968/bjon.2019.28.16.1086

Menopause and the NHS: caring for and retaining the older workforce

2019· article· en· W2972477634 on OpenAlexaboutno aff
Suzanne Banks

Bibliographic record

VenueBritish Journal of Nursing · 2019
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsnot available
Fundersnot available
KeywordsMenopauseWorkforceMedicineGerontologyQuarter (Canadian coin)NursingInternal medicineEconomic growthHistory

Abstract

fetched live from OpenAlex

Menopause is a natural transition affecting most women between the ages of 45 and 55. Three-quarters of women will experience mild to moderate menopausal symptoms and a further quarter will report them as severe. Symptoms can include night sweats, hot flushes, poor concentration, tiredness, poor memory and lowered confidence. The workplace can exacerbate these symptoms and for some women can influence their decision to stop working earlier than previously intended. The need for support and understanding from managers is crucial and can make a major difference to how a woman deals with her menopause. Many women enter the menopause at the peak of their productive lives. These women have valuable skills, knowledge and experience that employers need to retain, so they should be developing resources to help navigate this normal and natural stage of the ageing process.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.378
Teacher spread0.346 · 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.

Study designOther design
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

Citations10
Published2019
Admission routes1
Has abstractyes

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