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Record W3160807100 · doi:10.36941/jesr-2021-0054

Mindfulness and Its Relation to Psychological Resilience and Depression of Distinguished Students

2021· article· en· W3160807100 on OpenAlex
Bassam H. Alharbi, Fatin Abdulrahman Mhedat, Ziad M. Alkhazaleh

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

VenueJournal of Educational and Social Research · 2021
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessPsychologyPsychological resilienceClinical psychologyDepression (economics)Resilience (materials science)CorrelationBeck Depression InventoryPsychotherapistPsychiatryAnxiety

Abstract

fetched live from OpenAlex

The study aimed to identify the level of mindfulness, psychological resilience, depression, and its correlation to psychological resilience and depression of distinguished students. To achieve objectives of the study, Toronto scale for mindfulness, scale of psychological resilience, and Beck depression list were used. Findings of the study unveiled that the level of mindfulness and psychological resilience was high, while the depression level was medium. The findings also showed that there was a positive correlation with statistical function between mindfulness and psychological resilience; there was also a negative correlation with statistical function between mindfulness and depression; and a negative correlation one with statistical function at a level between psychological resilience and depression.
 
 Received: 27 February 2021 / Accepted: 29 March 2021 / Published: 10 May 2021

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)0.001
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 score0.204
Threshold uncertainty score0.175

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.135
GPT teacher head0.579
Teacher spread0.444 · 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