MétaCan
Menu
Back to cohort
Record W7053099342

Unwrapping the Emporium: Hudson’s Bay Company and the Legacy of Department Store Management in the Global Culture of Retailing

2021· dissertation· en· W7053099342 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2021
Typedissertation
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsConsumerismReputationReputation managementEngine departmentOrganizational culturePlan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Between the 1850s to the 1960s, the department store emerged as a prominent retail format worldwide. As a retail format, the department store model broke away from pre-existing retailer and consumer conceptions of shopping and the shopping environment. Store leaders placed their focus on creating an uplifting mode of consumerism that perpetuated the department store as an ‘experience.’ However, behind the department store’s ‘magical’ façade, store management preplanned and manipulated consumer interactions with every part of the store. The managerial techniques managers used allowed these institutions to become an epicentre of consumerism and urban culture globally. The department store has lost its reputation as a vibrant shopping location in the digital age, and retailers and consumers alike have disregarded it as solely a monument of retail nostalgia. Nonetheless, today’s retailers still have much to learn from the ways department store leaders innovated. The management techniques used in department stores can provide insight into these institutions’ successes and pitfalls when navigating changing retail circumstances. If the department store is used as a tool of managerial know-how for retailers in the digital age, it could allow other retailers to sustain a semblance of the department store’s longevity, commercially and culturally. Hudson’s Bay, a remaining store in the Canadian department store industry, features as a case study to highlight the extent to which department store leaders designed and managed their stores.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.184
Teacher spread0.177 · 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 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueMacSphere (McMaster University)Same topicNuclear reactor physics and engineeringFrench-language works237,207