The Role of Public–Private Partnerships in Facilitating Cross‐Border Logistics: A Case Study at the U.S./Canadian Border
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 (PPPs) 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 PPPs 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 PPPs 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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.025 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".