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Record W2397266070 · doi:10.1002/hrdq.21257

The Effects of Different Behavioral Goals on Transfer from a Management Development Program

2016· article· en· W2397266070 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Resource Development Quarterly · 2016
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPsychologyTransfer of trainingInterpersonal communicationSocial skillsClinical psychologySocial psychologyDevelopmental psychologyCognitive psychology

Abstract

fetched live from OpenAlex

The present field study examined transfer from a training program that focused on interpersonal skills for public‐sector management development participants ( n = 172). Using a quasi‐experimental design, participants were assigned to one of three behavioral conditions (behavioral outcome goals, behavioral specific goals, rank‐ordered behavioral goals) or a comparison do‐your‐best condition. Transfer was assessed using a self‐report survey, self‐ BOS (behavioral observation scale) ratings, and workplace observer (median = 4) BOS ratings. Overall, the results suggest that the management development program was effective. Self‐efficacy and transfer (self‐ BOS ratings) scores, across all conditions, were higher post‐program relative to pre‐program. Post‐program self‐ BOS ratings revealed that behavioral outcome goals increased transfer relative to the other two forms of behavioral goals. Behavioral specific goals reduced transfer, as assessed by workplace observer BOS ratings, relative to all other study conditions. There was no evidence that either form of behavioral goals was superior to do‐your‐best.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.314
Teacher spread0.289 · 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