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Record W2489548498 · doi:10.3968/8575

Representation, Transformation and Discussion of the Collectivist Identity of Young Chinese Employees in Foreign-Invested Enterprises

2016· article· en· W2489548498 on OpenAlexvenueno aff
Xi Jiang

Bibliographic record

VenueCanadian social science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsCollectivismChinaIndividualismReputationGlobalizationContext (archaeology)SociologyCompetition (biology)Political scienceBusinessLawSocial science

Abstract

fetched live from OpenAlex

For a long time, Chinese employees were well recognized as generations with collective and cooperative spirits; nevertheless the once bloomed reputation has gradually disappeared among the majority of young Chinese employees today, who have presented increasing variations compared with the elder employees on the comprehension and demonstration of collectivism. The gap becomes typical phenomenon when these young Chinese employees conduct business with counterparts sharing similar cultural background from Japan, Korea, Hong Kong and Taiwan regions. By conducting a thorough one-to-one interview with China’s young employees working in the transnational enterprises in China, we have found that though they have new understandings on the conception of collectivism compared with their parents, instead of completely abdicating the core philosophy of teamwork spirit in collectivism, they are just attenuating newly-bred spirits of individualism and free development. These changes root from both inner and outer levels. The one-child policy, the intense social competition along with the development of china’s economy and the household registration reform constitutes the inner reasons. In terms of the outer level, the development of new technologies in the context of globalization and modernity, as well as easier access to Euro-American cultural productions strongly influences China’s young generations’ collectivist thoughts and behaviors.

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 score0.742
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.015
GPT teacher head0.295
Teacher spread0.280 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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