Involvement of Higher Education in Building Human Resources Character in the Era of Globalization
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.
Bibliographic record
Abstract
<p class="apa">In general, the objectives of this study were to explain the role played by universities in improving its human resources are office holders, lecturers, and students, explain the program what is being done related to the improvement of human resources, and explains the non-academic program to support the implementation of a program that has been prepared so as to ensure the creation of academic atmosphere and moral. This research is using a qualitative approach. Data collection method is observation, in-depth interviews, and documentation. After determining the selected object, it is then determined subjects and informants who serve as a source of information, other than information derived from observation and documents. The data obtained were analyzed using qualitative descriptive. From these results it can be concluded that in the current era of globalization sensitize the managers of private universities to constantly make changes both in management of students, lecturers, and academic. Of the top ten universities in East Java, which is the object of research has done on average conditionally adjustment and in accordance with their respective capabilities to actualize development programs as outlined in the master plan and development plan strategy as a guide.</p>
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 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 | 0.002 | 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 | 0.000 | 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 it