Journal Entry, July 2020: Affirmation, Inclusion, Equity and Everyone
Bibliographic record
Abstract
When we reflect on 2020, especially in the United States, the divides in society amplified by the pandemic and laid bare for all to see following the murder of George Floyd in Minnesota in May, 2020 will most likely be the top of mind. We could all see this nation’s history and current complicity for racism, both the systematic and systemic. The moment was not unfamiliar, but markedly different. Initially, we wrote this piece in the summer of 2020, in response to our professional organization’s delay and hesitancy to affirm Black lives, Black students, Black engineers and Black faculty. Many of us were crying out. Allies with commitment to action showed up for and with us -- no questions asked, to ensure that what we felt was at least heard. In nearly a year since our original effort to write this piece together, some things have changed for the better. We saw our professional organization affirm Black lives. We saw some of our colleagues take action, change course and use their influence to make the community better. Some learned, listened and tried to do something new. Others, either remained silent, hopefully in contemplation, but some with a silence that convinces us that they are simply not on the same side. We composed the below entries in the summer of 2020, amid national turbulence and internal reflection. Below we provide four personal stories and some specific calls to action situated in the summer of 2020, but these remain our aspirations and hopes for the field of engineering education.
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 | 0.000 | 0.000 |
| 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 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".