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Record W2789752853 · doi:10.1111/ppc.12271

Relationship of premenstrual and menstrual symptoms to alexithymia among nursing students

2018· article· en· W2789752853 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePerspectives In Psychiatric Care · 2018
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScaleMenstrual cycleMedicineClinical psychologyPsychologyObstetricsInternal medicineHormone

Abstract

fetched live from OpenAlex

PURPOSE: The aim of this study is to determine the relationship of premenstrual and menstrual symptoms to alexithymia among nursing students. DESIGN AND METHODS: This descriptive study was conducted with 284 undergraduate nursing students. Data were collected using Premenstrual Syndrome Scale (PMSS), Menstrual Symptom Scale (MSQ), and Toronto Alexithymia Scale-20 (TAS-20). FINDINGS: The PMSS, MSQ, and TAS-20 mean scores were 103.56 ± 35.08, 2.92 ± 0.8, and 45.22 ± 9.17, respectively. There was statistically significant positive correlation between TAS-20 and PMSS and MSQ mean scores (p < .05). PRACTICAL IMPLICATIONS: Women should be evaluated for alexithymia to prevent the adverse effects of premenstrual and menstrual symptoms.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.374
Teacher spread0.357 · 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