Governance in logistics platforms: an analysis of the elements and attributes to be considered in this type of enterprise logistics
Bibliographic record
Abstract
The Logistics Platforms are logistics enterprises of large scale that serve an area or region, where they concentrate and realize activities related to production, transport, logistics and goods distribution, using the same basis of services where different workers involved are related to goal of achieving greater efficiency in their operations. This research aimed to identify the attributes and elements that can be applied to the governance of logistics platforms. To reach the purpose of this research, the authors performed a literature review of the main concepts related to governance and logistics platforms and also a survey of features of logistics platforms located in Europe extracted from the reports Feasibility of Freight Villages in the NYMTC Region and An Exploration of the Freight Village Concept and Its Applicability to Ontario. As a result it was found that the governance of this type of enterprise is associated with influence of power, the degree of hierarchy between the different workers involved or participating, and also the levels and synergies that are established in interorganizational relationships both in the public and private spheres.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".