MétaCan
Menu
Back to cohort
Record W2889065971 · doi:10.20319/pijss.2018.42.906931

PERMANENCY OF LEADER SELF-CONFIDENCE DEVELOPMENT: A LONGITUDINAL COMPARATIVE ANALYSIS

2018· article· en· W2889065971 on OpenAlexaffabout
Lyle Benson

Bibliographic record

VenuePEOPLE International Journal of Social Sciences · 2018
Typearticle
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsSelf-confidencePsychologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study is to determine if youths’ leader self-confidence, once developed in a leadership training program, persisted over time. It is exploratory comparative analysis research comparing two studies on the same leadership training program: Benson (1991) and the Canadian Alberta Provincial Government (1995). Benson’s (1991) study assessed youths’ self-confidence 3 months after they attended the provincial leadership training program. The Alberta Provincial Government (1995) study assessed youths’ and adults’ self-confidence 1 to 8 years after they attended the same provincial leadership training program. Although this is not a true longitudinal study following the same subjects over time; it is a follow-up study measuring the impact of the provincial leadership training program on the permanency of self-confidence development and retention over time. This is one of the few leadership studies on self-efficacy and self-confidence to do this. This exploratory study will do an in-depth comparative analysis of Benson and Enstroem’s (2014) Leader Self-Confidence Indicator (LSCI) 4 dimensions. Specifically, both studies (Benson, 1991 and the Alberta Provincial Government, 1995) and both data sets of both quantitative and qualitative data within those two studies will be analyzed to find out if participants increased their leadership self-confidence in any of the 4 dimensions and retained self-confidence overtime.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.117
GPT teacher head0.426
Teacher spread0.309 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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

Citations3
Published2018
Admission routes2
Has abstractyes

Explore more

Same venuePEOPLE International Journal of Social SciencesSame topicLeadership, Courage, and Heroism StudiesFrench-language works237,207