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Record W2233336914

Facility, Location and Employer-Employee Relations of German-Canadian Businesses in Canada

2014· article· en· W2233336914 on OpenAlexaffvenueabout
H. A. Eiselt, Marianne Eiselt

Bibliographic record

VenueJournal of Comparative International Management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of FrederictonUniversity of New Brunswick
Fundersnot available
KeywordsGermanBusinessWork (physics)Flexibility (engineering)PolitenessMarketingPunctualityPublic relationsPolitical scienceManagementGeographyEngineeringEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is an investigation into aspects of the decision-making process of German-Canadian business owners regarding the reasons for their choice of location and their assessment of the differences of some major traits of German and Canadian employees. This paper presents the results of a questionnaire that was administered by mail to German business owners in Canada. The purpose of this focus is to provide regional planners with some understanding why German owners/managers choose specific provinces or sites, and to provide managers in Canada with information concerning differences in traits of German and Canadian employees. The results of this work are that location decisions are mostly personal when it comes to choosing Canada as a country for their business, but the more we zoom into the chosen province and the specific site, the more business-related features become relevant. As far as personnel evaluations by German managers are concerned, the key result is that while at first glance it may appear that Canadians and Germans (and, by extension, Canadian and German employees) are not very different culturally, they actually are. Whereas some results appear to support common stereotypes, e.g., Canadians rank higher when it comes to politeness and tolerance, while Germans excel in job knowledge and punctuality, others are more unexpected. Among them are the results indicating no significant differences when it comes to flexibility, ambitiousness, and the acceptance of authority.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.033
GPT teacher head0.315
Teacher spread0.282 · 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 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
Published2014
Admission routes3
Has abstractyes

Explore more

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