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Record W4319430186 · doi:10.1017/9781108904025.012

Sociological Approaches

2022· book-chapter· en· W4319430186 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsIntercultural communicationIntercultural relationsPedagogyKey (lock)Variety (cybernetics)SociologyEngineering ethicsPsychologyEngineeringComputer science

Abstract

fetched live from OpenAlex

Uniquely interdisciplinary and accessible, The Cambridge Introduction to Intercultural Communication is the ideal text for undergraduate introductory courses in Intercultural Communication, International Communication and Cross-cultural Communication. Suitable for students and practitioners alike, it encompasses the breadth of intercultural communication as an academic field and a day-to-day experience in work and private life, including international business, public services, schools and universities. This textbook touches on a range of themes in intercultural communication, such as evolutionary and positive psychology, key concepts from critical intercultural communication, postcolonial studies and transculturality, intercultural encounters in contemporary literature and film, and the application of contemporary intercultural communication research for the development of health services and military services. The concise, up-to-date overviews of key topics are accompanied by a wide variety of tasks and eighteen case studies for in-depth discussions, homework, and assessments.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0050.017
Scholarly communication0.0060.005
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0270.007

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 head0.122
GPT teacher head0.264
Teacher spread0.141 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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