The Role of Public–Private Partnerships in Facilitating Cross‐Border Logistics: A Case Study at the U.S./Canadian Border
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
Private enterprise carries out the complex operations of cross‐border logistics that are the lifeblood of global supply chains. Yet, the efficiency of these activities depends on government agencies that provide the logistics infrastructure for global trade. Thus, public–private partnerships ( PPP s) play an important role in facilitating improvements in cross‐border logistics. While private enterprise and the public sector are key stakeholders in the quality of cross‐border logistics, research that examines PPP s in logistics management is relatively sparse. To address this gap, the current study aims to develop empirically based theoretical insights into the nature and role of PPP s in the context of cross‐border logistics. The study employs a grounded‐theory analysis of case study data collected at the U.S./Canadian border. Findings show that private enterprise collaborative capability and public interagency cooperation determine the performance of PPPs which, in turn, influence the quality of cross‐border logistics.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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