Perceptions of professors from a private university about their skills and needs to develop and promote research
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
Introduction: University education must be based on teaching, outreach and scientific research. Honduran universities have education policies, but there are limited research achievements. The study aim was to evaluate professor profile and the research needs at a private university in Honduras. Methods: Data collection was carried out through a digital survey sent to professors at the Centro Universitario Tecnológico (CEUTEC), part of the Universidad Tecnológica Centroamericana (UNITEC) in San Pedro Sula (SPS). Study period was the third academic quarter of 2017. A total of 160 out of 233 professors were surveyed. Factors analyzed were professors´ background, resources and interest in conducting research. Results: More than half professors reported having a master's degree. Additionally, 83% (132/160) stated they had the willingness to conduct research and publish papers. Almost all professors (94%; 150/160) reported being interested in improving their research skills. Conclusion: Based on the study results, the CEUTEC-SPS professors showed interest in training and research but need support to develop it.
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 | 0.003 |
| 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