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Record W2597199961 · doi:10.1108/tcj-06-2016-0047

Turnaround of the Professional, Applied and Continuing Education Department at the University of Winnipeg

2017· article· en· W2597199961 on OpenAlexaffabout
Sylvie Albert

Bibliographic record

VenueThe CASE Journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsAcademic departmentStrategic planningTurnaround timeManagementStrategic managementPortfolioHuman resourcesSociologyHigher educationBusinessPublic relationsPolitical scienceOperations managementEngineeringEconomics

Abstract

fetched live from OpenAlex

Synopsis The case begins in mid-2014 and provides an opportunity for students at the undergraduate and graduate level to complete several strategic assessments of an entrepreneurial department within a post-secondary institution. The continuing education department of a university in Canada has been transferred to the dean of an academic faculty. The department has had a history of budget deficits and the new dean and executive director (ED) were tasked to develop and implement a turnaround strategy. Research methodology The case is written by the dean who had firsthand experience with the turnaround strategy. The written case was reviewed for accuracy by two principal actors: the ED responsible for implementing the plan, and the vice-president academic who is the dean’s supervisor and was kept apprised of all developments throughout the turnaround. Some of the data were produced by staff within the operation of Professional, Applied, and Continuing Education and acknowledged in the case. Relevant courses and levels This case is suitable for courses in business strategy, operations management, and includes various implications for human resource management, organizational behavior, and entrepreneurship suitable for undergraduate and graduate courses. It has a focus on turnaround strategies and strategy implementation. Theoretical bases Theoretical underpinnings for this case include strategic visioning and communication: portfolio management and innovation; internal environment analysis and positioning; structuring and resource management; and monitoring and control systems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.777

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0060.001
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.013
GPT teacher head0.223
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes2
Has abstractyes

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