Etymological Semiotic Changes Unfolding in the Digital World - Transforming the English Language in the Apocalyptic Times – The Transformation of Language from the Corona Virus to Present-Day AI Infiltration into the Educational Domain
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 world has changed and will never be the same again after the pandemic made a worldwide sweep. It all seems like a surreal dream; one day we were in our classrooms teaching and lecturing to our students in concrete structures called universities and colleges and the next we knew we are sitting locked down in our homes meeting our students online. What a sudden drastic change from the temporal classroom in the real world to the virtual world of smartphones and laptops. And still, with the revolution called AI, we English professionals are still in a state of suspension of disbelief or are we waking up to the reality of the future where the world is without barriers and communication has become the byword of success. Is this truly a boon or the sword of Damocles suspended in mid-air waiting to crumble the world and everything once held dear?
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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