Bibliographic record
Abstract
Humanity has always fashioned idols in the form of golden calves, carved images, and high towers. Today, we have built a new one: artificial intelligence. isAIah imagines AI singularity as an oracle, exposing the costs of our devotion to technology, profit, and progress. In dialogue with Ekim the Prompter, isAIah unmasks the social and environmental sacrifices laid at its feet: fractured communities, rising inequality, and an earth groaning under exploitation. Its voice is unsettling, yet not without hope. Even as it names the false gods of our time, it gestures toward love, justice, and renewal. At once poetic and prophetic, isAIah offers a haunting critique and a provocative invitation. It asks what we worship, what we sacrifice, and what future we are creating, and dares us to imagine another way. This work is published under the pseudonym Ekim the Prompter. Print ISBN: 978-1-0699097-2-5. This open-access PDF is the canonical non-commercial digital edition.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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; both teacher heads agree on what is shown here.
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".