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Record W2728279937

DEĞİŞEN İŞ ORTAMINDA BİREYE AİT DİNAMİKLER: ÖZ-DENETİM’İN ROLÜ

2015· article· tr· W2728279937 on OpenAlexaboutno aff
Yard. Doç. Dr. Esra Atilla Bal

Bibliographic record

VenueDergiPark (Istanbul University) · 2015
Typearticle
Languagetr
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Self-regulation is a recently popular concept in industrial-organizational psychology and holds great potential for this field for various reasons (Vancouver and Day, 2005). Given the search for more autonomous practices and entrepreneurial approaches on the side of organizations instead of bureaucracy, hierarchy and autonomous leadership, self-regulation presents an approach that is in line with the current demands of the modern workplace. Recently, studies regarding self-regulation have become of significance in various fields of psychology. Research carried out in previous years has shown that; in applied psychology, education, public health and industry, goal-oriented behavior is of crucial importance for individual and group well-being (Boekaerts, MaesandKaroly, 2005). The aim of this paper is to define the concept of self-regulation, refer to its organizational consequences and draw attention to closely related concepts. In addition, suggestions for future research regarding this concept will also be shared.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: none
Teacher disagreement score0.526
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.009

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 head0.052
GPT teacher head0.293
Teacher spread0.241 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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