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Record W581895388

Transition at X Campus : commitment in change

2004· dissertation· en· W581895388 on OpenAlexaboutno aff
Qi Wang

Bibliographic record

VenueSummit (Simon Fraser University) · 2004
Typedissertation
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsTransition (genetics)Political sciencePsychologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

The main purpose of this field study is to evaluate the current change process of the X Campus Business Program Design and to identify the associated risks, challenges and opportunities in relation to the impacts it has on the faculty members at ABC Burnaby Campus.By choosing a project charter as a model to develop a contract to commence this project, we attempted to give a clear image about what, why, when, how, and where I will do this project to satisfy our client's needs.We embarked on a series of interviews with both committee and faculty members to glean data about the different perspectives towards this change initiative.We used the eight factors of the Inspire Action Method for Leading Organizational Change to analyze the collected data and to make a comparison between committee and faculty members.The eight factors are Strategic alignment, Business case, Change leadership, Communication, Stakeholder perspective, Create commitment, Resilient teams, and Aligned performance.I found a large gap between the knowledge and perception of committee members and those of professors who will be impacted by this change.Based on the research result, this literature review explores the role of commitment to organizational change.Main topics discussed are source of commitment, how it supports the organizational change, and how to develop commitment in change.Finally, there is a summary of key learning's from the field research, with specific focus on dynamic teams which included the instructor, the team, and self-learning.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.040
GPT teacher head0.329
Teacher spread0.288 · 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 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
Published2004
Admission routes1
Has abstractyes

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