WIP Paper: Engineering Materials Related Courses at the University of Puerto Rico in Mayagüez (UPRM) after Hurricane Fiona Crossed the Island in September 2022
Bibliographic record
Abstract
Abstract On September 18, 2022, the Hurricane Fiona entered Mayagüez with a wind speed of 150 mph and dwelled longer than five hours since she moved with a linear velocity of only 5 mph! Our campus was totally devastated, and there were neither class lectures nor real labs for over two weeks. Immediately thereafter, the campus was again closed for a week due to the students and workers strike. This hampered very seriously all our undergraduate and graduate courses, and particularly those courses related to materials science and engineering, because such courses are offered in several departments in our engineering faculty as well as in the faculty of pure sciences. For example, in our Mechanical Engineering Department, we offer courses on Biomaterials in cooperation with the Department of Biology. The present paper illustrates how we handling the current situation in teaching , research and services related to materials science and engineering for not losing a full semester in this Fall. Furthermore, there is a move that in the coming semester the class schedules will change from five days a week to four and half days a week , thereby leaving the Wednesdays afternoon only for "extracurricular activities". We have to accommodate both time schedule and available space for lecture halls as well as lab spaces. This is again a challenge for the materials courses and in the allied fields because they are much larger in numbers for properly distributing over four and half days a week. Hence, this is really a "Work in Progress" real situation during the next two semesters. We will report more development of the current situation and its challenges during the ASEE Annual Conference in Summer 2023 .
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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 | 0.000 |
| 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) | 0.018 | 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".