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Record W1597432988

Intergenerational Knowledge Transfer in High-technological Companies: A Comparative Study between Germany and Quebec

2009· article· en· W1597432988 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueASAC · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsKnowledge transferContext (archaeology)Comparative caseHofstede's cultural dimensions theoryKnowledge economyBusinessKnowledge managementEconomic geographySociologyEconomySocial scienceEconomicsManagementGeography
DOInot available

Abstract

fetched live from OpenAlex

Examining this problem requires the analysis of the social and cultural environment in the context of today’s knowledge economy. A description of Hofstede’s cultural dimensions (1980) helps to start a cultural comparison and to identify important elements for a comparative study of intergenerational knowledge transfer in different countries. The article presents the results of a comparative study, conducted to compare the knowledge management practices in Quebec and Germany. Those two In today’s knowledge economy retiring experts are a threat for a firm’s performance. This article based on compared investigations of management practices in Quebec and Germany leads to a better understanding of the impact of the aging population on management methods in the field of KM in high-technological companies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.510

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 communication0.0000.001
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 head0.038
GPT teacher head0.279
Teacher spread0.242 · 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