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Record W1695249316 · doi:10.18275/fire201502021037

Faculty Internationalization Priorities

2015· article· en· W1695249316 on OpenAlexaboutno aff
John Criswell, Hao Zhu

Bibliographic record

VenueFIRE Forum for International Research in Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsInternationalizationInstitutionSubject (documents)Higher educationPolitical sciencePublic relationsInternationalization of Higher EducationMedical educationPedagogyPsychologySociologyBusinessMedicineLibrary science

Abstract

fetched live from OpenAlex

The internationalization of higher education has been the subject of a substantial body of research. However, few studies have examined how faculty members, significant implementers of internationalization, think about internationalization priorities. This article presents the results of a questionnaire which was sent to faculty members at three institutions of higher education, two in the United States and one in Canada. Three-hundred and seventy-five faculty members responded to an open ended question asking how they would prioritize international initiatives at their institution. These comments were coded and categorized based on patterns that emerged from the data. Additionally, the top five topics were examined more in depth to reveal faculty rationale for each. Two findings emerged from this study. First, respondents overwhelmingly support internationalization. Second, they expect the institution to shoulder the burden for the implementation of institutional directives. These findings inform institutional internationalization administrators. The full text of the article can be found at 10.18275/fire201502021037

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)0.002
metaresearch head score (Gemma)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.599
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 head0.167
GPT teacher head0.512
Teacher spread0.345 · 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 designNot applicable
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

Citations15
Published2015
Admission routes1
Has abstractyes

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