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Record W1993812257 · doi:10.5430/jnep.v2n3p128

Correlations between stress and anxiety levels in nursing students

2012· article· en· W1993812257 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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Nursing Education and Practice · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyTrait anxietyAnxiety scoreTraitPsychologyClinical psychologyCorrelationStress (linguistics)Descriptive statisticsPsychiatryStatisticsMathematics

Abstract

fetched live from OpenAlex

Objective: Transversal, descriptive, and correlational study with 71 professionalizing Nursing students, with the purpose of describing social-demographic data, to verify and to correlate stress and anxiety levels. Methods: Data collection was performed on January 2011, from Vasconcelo’s List of Stress Symptoms and Spielberger’s Inventory of Trait and State Anxiety. Results: There were 90.44% female students with an average 28.87 years of age; 32.39% obtained average stress score and 64.79% high score; 43.66% for high score in Trait and State Anxiety; 43.66% and 36.62% for moderate score respectively for Trait and State Anxiety. At Pearson correlation the following coefficients were obtained: LSS/Trait-Anxiety ( r =0.656/ p =0.000); LSS/State-Anxiety ( r =0.512/ p =0.000). Conclusion: Students presented high levels of stress and anxiety and correlations between these variables were positive. Future studies are necessary with higher samples.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.078
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.220
GPT teacher head0.607
Teacher spread0.387 · 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