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Record W4317598271 · doi:10.1080/01612840.2023.2164912

Don’t Blame It on the Moon

2023· article· en· W4317598271 on OpenAlexaffabout
Kym Kaufmann

Bibliographic record

VenueIssues in Mental Health Nursing · 2023
Typearticle
Languageen
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsGovernment of Manitoba
Fundersnot available
KeywordsBlameFull moonPsychiatryMental healthMental illnessPsychologyMedicine

Abstract

fetched live from OpenAlex

Aim: There is a longstanding, popular belief that the lunar cycle has an impact on human behavior. The purpose of this study was to evaluate changes in behavior amongst psychiatric patients at a mental health facility over a 7-year period in comparison to the lunar cycle. Method: A retrospective analysis was conducted using behavioral occurrence reports from a hospital database for a 252-bed adult psychiatric hospital in Canada. There were 7,153 behavioral occurrences during the study period across 627,763 patient days. Results: Occurrences varied greatly by lunar day, with peaks above the average for some days and dips below for others, while maintaining the average for the rest of the lunar days; however, no specific pattern was observed and the variation was not statistically significant. The popular notion that a full moon arouses behavioral disturbances was not supported in this analysis of psychiatric inpatients. Clinical Implications: The belief that the full moon causes escalating behaviors should be critically evaluated by healthcare providers as it may contribute to further stigmatization of individuals with mental illness.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.066
GPT teacher head0.467
Teacher spread0.401 · 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
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

Citations2
Published2023
Admission routes2
Has abstractyes

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