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
Black teachers encounter various microaggressions in and around schools that make the profession taxing (King, 2016). While hurdling relational challenges, Dr. Bell funneled his energy and revised two units for fourth and fifth grade students in the learning community. One unit, Events Leading Up to the American Revolution received limited edits due to the restraint of planning time and COVID19 quarantine mandates before implementation. The second unit, Activism, received a major overhaul as it was originally cut short during the Spring 2020 semester. This article reflects Dr. Bell’s account of the year spent revising both Social Studies units that students engaged in. He includes the events that led to the decision to focus on Social Studies content and the reactions of students and their involvement as they learned content and participated in class discussions. His students enjoyed the interactive lessons, although a majority of the planning was done by him without much collaboration from his team members. As a result, this experience has inspired him to find an opportunity to develop a secondary social studies course.
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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| 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