A Textual Analysis of Community College Internationalization Plans in the U.S. and Canada
Bibliographic record
Abstract
Internationalization in the community college sector serves many purposes that align with the local and national contexts in which an institution is situated. One method of assessing how international efforts have become institutionalized is through the analysis of internationalization plans. Prior research examining internationalization plans and agendas is centered on the four-year sector, and studies on the two-year sector and comparative studies are scarce. This article addresses that gap by analyzing four community college internationalization plans in the U.S. and Canada. We use the textual analysis tool, Voyant, to examine how internationalization is operationalized in these two national contexts. Our findings indicate that there is little emphasis on mobility and language programs, despite the presence of these internationalization strategies in institutional or national policies. The documents also show greater quantification of goals related to internationalization and lesser specificity regarding intercultural activities. Implications and recommendations for future research are offered.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".