Characterizing international services: an interdisciplinary framework for research and policy
Bibliographic record
Abstract
Abstract International services present a challenge for policy work. Their nature resists straightforward characterization, making it difficult to design effective and targeted policies. Research across international business, economic geography, and service management has also grappled with this complexity for years; yet a cohesive, unified, and actionable understanding of international service characteristics remains missing. We examine these complexities with the aim of identifying the central characteristics of international services and how they can be utilized in research and policy. Using three recognized core challenges in international services research as a point of departure, we develop an integrative framework that enables the characterization of all international services for research and policy purposes. The framework consists of four interconnected components: the connectivity of international services to their environment, the configuration of service activities within international organizational setups, the collaborative international interaction between global service actors, and the value creation of international services. We demonstrate how the framework serves as a conceptual tool for research and a practical guide for policy work. We advance international service management research with an interdisciplinary, cohesive, and actionable framework that enables the characterization of international services and policy by providing ways to shape effective global service policies.
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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 | 0.043 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.011 | 0.084 |
| Scholarly communication | 0.038 | 0.041 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".