Integrating Internet-facilitated international academic partnerships into local university environments : faculty perspectives
Bibliographic record
Abstract
This study explores how to integrate faculty-initiated Internet-facilitated international academic partnerships into their local university environments. Recently some faculty have begun initiating international partnership activities which carryout their university's research, teaching, and service missions. These partnerships (including courses, projects, or entire programs) are considered by their initiators to benefit both faculty and student development. Faculty see the Internet as enabling them to construct interactive and collaborative virtual forums where disperse student and faculty bodies can co-engage in exciting international research, teaching, and learning opportunities. This study aims to encourage the development of Internet-facilitated international academic partnerships so that more faculty in all disciplines are supported by their local institutions to better integrate their partnerships. Presently, partnerships are not well integrated. Impart this is because the Internet as a communication tool is relatively new phenomenon. However, it is also due to the tendency for faculty level partnerships to be overlooked by higher levels of university administration. As a result, the value of Internet partnerships has not yet been explored in relation to their local institutional missions. This study therefore consults faculty with experience partnering online in order to garner faculty insights pertaining to partnership integration. The results help to determine (1) core characteristics of these faculty-level partnerships (2) faculty motivations for initiating them (3) university environments implicated by integration and (4) identify faculty support and development opportunities appropriate to support integration.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".