Same storm, different nightmares: emergency remote teaching by contingent communication instructors during the pandemic
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
The COVID-19 pandemic amplified existing inequities in higher education. This paper documents the stories of four precariously employed communication instructors in their transition to emergency remote teaching in March 2020. Through collaborative autoethnography, the instructors share their stories of reliance and compliance within the gig academy, using their support networks to foster resilience and create points of resistance. In the Spring 2020 semester, we experienced the same storm but with different nightmares. Technological frustrations, mental health concerns, accent barriers, financial stresses, care work, and illness were pushed to the background while we dealt with suddenly teaching online during the pandemic. The relentless uncertainty about job security hanging overhead persists. From our subaltern counterpublic, we posit a resistance to the gig academy. We urge departmental leadership to use this paper to inform policy making and practice and for other contingent instructors to expose their stories in scholarship.
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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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