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Record W2093898392 · doi:10.1177/1059601105275264

Commentary on “Redefining Interactions Across Cultures and Organizations”

2005· article· en· W2093898392 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.

Bibliographic record

VenueGroup & Organization Management · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsQueen's University
Fundersnot available
KeywordsCultural intelligenceSociocultural evolutionAcculturationPsychologyAdaptation (eye)Meaning (existential)Social psychologySet (abstract data type)Field (mathematics)SociologyProcess (computing)Cultural conflictEpistemologySocial scienceEthnic groupAnthropologyComputer science

Abstract

fetched live from OpenAlex

The authors make two basic points in their commentary, both stemming from the field of cross-cultural psychology. First, in their view, intelligence is a concept that is highly variable across cultures; its meaning, development, display, and assessment are all embedded in cultural contexts. Thus, they consider that a single concept such as cultural intelligence (CQ) is unlikely to be culturally appropriate in all sociocultural settings. Second, when groups and individuals of different cultural backgrounds come into contact, the process of acculturation is set in motion. In this situation, two differing meanings of intelligence are likely to engage each other, bringing some challenges to the intercultural interaction, often resulting in stress, and sometimes in conflict. Eventually, some forms of adaptation are achieved, with the emergence of some effective ways of acting in the intercultural situation. The authors believe that these two points need attention during the further development of the concept of CQ.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.840

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.325
Teacher spread0.311 · 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