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Record W2979317734 · doi:10.4324/9780429038983-1

When Business Strategy and the Law Are in Conflict: The Case of Parallel Importation in Canadian Border Communities

2019· book-chapter· en· W2979317734 on OpenAlexaboutno aff
Megeed Ragab, G. Andrew Gostlow

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPolitical scienceLawInternational trade

Abstract

fetched live from OpenAlex

The recession of 1989 and the concomitant appreciation of the Canadian dollar resulted in a serious business problem for Canadian retailers. Intellectual property rights protection accorded to the authorized importers is a source of conflict between business strategy and the law. The Canadian market is rather small and scattered thus inhibiting sizable economies of scale. Government regulation, an excessive tax burden, high property values and a high minimum wage all conspire to force Canadian retailers to charge a high margin in order to continue in business. Eighty-two percent of respondents surveyed either currently or in the recent past had engaged in parallel importation. Without exception, respondents who engaged in gray marketing saw the practice as a process necessary for survival in a border economic environment. Canadian suppliers, despite being made aware of the broader competitive environment of border communities, failed to respond to requests from Windsor retailers for competitive wholesale prices.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.103
Threshold uncertainty score0.744

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0470.028
Scholarly communication0.0120.004
Open science0.0020.006
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.032
GPT teacher head0.292
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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