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
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?This article focuses on how it has always been the trait and the intrinsic nature of humankind to endure, adapt, and evolve.Language being the main domain of expression of a human being is a major game changer that evolves and develops most speedily in pressing times like these.The English language undoubtedly belongs to that exclusive club, of not only being one of the languages that spent the best part of a millennium cheerfully adopting new terms and ideas but also of being a dynamic language that is genuinely international, whose history has become part of the history of countless places, people and movements.These are truly Apocalyptic Times; if we have eyes, we will see the signs around us.We need to adapt ourselves to the rapid changes of digitalization.Once upon a time, it was globalization and new technology that accelerated both the speed and the scale of linguistic evolution but now the Coronavirus Pandemic that erupted mysteriously has made all boundaries blurred and has men and women enslaved to a virtual world from which there is no reprieve.However, the greatest difference between digital and pre-digital times is that the future of communication lies onscreen in a virtual world.These screens are transforming not only how we communicate but we mean and think too.Disconnected from human faces and voices new conventions and registers are developing to express the emotional nature of language.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.044 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".