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Record W1961255247

Designing Effective Leader Assessment / Feedback Systems: Integrating Organizational Culture, Stages of Change, and Goal Setting

2008· article· en· W1961255247 on OpenAlexaffabout
Peter A. Hausdorf, Lynda Zugec

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOrganizational cultureKnowledge managementOrganizational changeCulture changeContext (archaeology)Conceptual frameworkPlanned changeLeader developmentProcess managementOrganization developmentGoal settingManagement scienceEngineering ethicsPublic relationsSociologyPolitical scienceComputer sciencePsychologyBusinessEngineeringSocial psychologySocial science
DOInot available

Abstract

fetched live from OpenAlex

This article contains an integrative review of the academic literature on organizational culture, leader assessment/ feedback, stages of change and goal setting. This review integrates these four literatures in the context of effective leader development for organizations in general and the Canadian Forces specifically. A conceptual model integrating these concepts is provided as a guiding framework for a literature review on these diverse areas. The implications for cultural change and leadership development in organizations are discussed. Recommendations for assessment/feedback system design and implementation in the Canadian Forces are provided.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.115
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.248
Teacher spread0.209 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2008
Admission routes2
Has abstractyes

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