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Record W2792907750 · doi:10.24124/2010/bpgub1447

UNBC English language studies: strategic management plan for sustainable growth

2010· dissertation· en· W2792907750 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicStrategic Planning and Analysis
Canadian institutionsUniversity of Northern British Columbia
FundersUniversity of Northern British Columbia
KeywordsSWOT analysisStrategic planningSustainabilityPlan (archaeology)Order (exchange)Process managementBusinessTerm (time)Strategic managementSmart growthEngineeringEngineering managementEnvironmental planningOperations managementEnvironmental resource managementGeographyLand useMarketingEconomicsFinanceEcologyCivil engineering

Abstract

fetched live from OpenAlex

The University of Northern British Columbia's English Language Studies program has experienced rapid growth over the past year. If this trend continues, the program will become unsustainable. In order for the program to sustain growth into the future, a strategic plan needs to be developed. This project conducts an environmental scan of the ELS program utilizing Porter's Five Forces, PEST, and SWOT analysis and a comparative analysis of other post-secondary ESL programs to identify key strategies and major challenges facing the ELS program today. Recommendations are made for the strategic development and formulation of the program. Short-and long-term strategies are derived from the recommendations. In order for the ELS program to grow sustainably, management should immediately implement a short-term strategic plan and examine long-term differentiations strategy for future growth. --P. ii.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.909
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 studies0.0000.000
Scholarly communication0.0010.001
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 head0.023
GPT teacher head0.273
Teacher spread0.250 · 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

Quick stats

Citations0
Published2010
Admission routes2
Has abstractyes

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