Analogies between Internet network and logistics service networks: challenges involved in the interconnection
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
Logistics networks that are currently formed by supply chains are intertwined but remain heterogeneous and not very interconnected. In computer networks, this stage was overtaken with the arrival of Internet. In this paper we explore the possible analogies and transpositions between computer networks, in particular Internet, and logistics service networks. To this end, a new logistical concept was proposed: The Physical Internet that aims at the interconnection of logistics service networks. In fact, there are strong similarities between these networks despite of the basic differences in the type of objects that prevent an integral transposition. To illustrate the pertinence of this analogy, this paper illustrates the interconnection potential of logistics networks with a stylised model. In view of the exploratory nature of this work, this impact will be assessed by means of an analytic model based on a method of continuous approximations. This illustration provides an indication of the potential inherent in the interconnection of logistics networks.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| 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