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Record W1555063839

THE OPPORTUNITY FOR RETAIL DRUG STORE DEVELOPMENT IN RURAL BRITISH COLUMBIA

2005· dissertation· en· W1555063839 on OpenAlexaboutno aff
Robert Mark Dickson

Bibliographic record

VenueSummit (Simon Fraser University) · 2005
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicLeadership and Management in Organizations
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPharmacyMarketingProduct (mathematics)AdvertisingVariety (cybernetics)PopulationBeautyService (business)MedicineEnvironmental healthNursing
DOInot available

Abstract

fetched live from OpenAlex

The drug store industry provides pharmacy service, cosmetic product and other health, beauty, and convenience goods to the population of British Columbia in urban, suburban and rural markets. Many different store formats compete in the industry using a variety of different strategic approaches. The mix of formats varies between urban and rural markets. A review of the value chain and a competitive force analysis identifies key success factors for the industry. The impact on these factors of differences in the rural markets and in particular the small population base must be considered. This determines the essential factors for successful competition in rural markets across the province. Over 25% of the British Columbian population lives in small rural communities. Development or expansion into these markets by companies who can achieve the key success factors will present the opportunity to increase market share and profitability.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.197
Teacher spread0.180 · 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
Published2005
Admission routes1
Has abstractyes

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