Internet of Everything as a Platform for Extreme Automation
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
Reports on the concept of the Internet of Everything (IoE). IoE is a notion for intelligently connecting people, processes, and data in one uniform way, enabling communications between machines (M2M), machine-topeople and technology- assisted peopleto- people interactions. IoE is expected to reinvent the business and the automation wheel all-together. From processes, models to business and manufacturing frameworks everything is expected to change with the change in data available and the smart connectivity between people and machines for critical decision making. It is bringing productivity and competitiveness to higher levels along with opening up many doors to new and exciting opportunities. IoE expands on the concept of the “Internet of Things” by connecting devices and people in one network. This connection goes beyond the basic M2Mcommunications to enable a democratization of skill and how it is being delivered globally. An integral part of this is to be able to transmit touch in perceived real-time,which is enabled by suitable robotics and haptics equipment at the edges, along with an unprecedented communications network capabilities.
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 | 0.000 | 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 | 0.000 | 0.000 |
| 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