Multinational Companies in Cross-National Context: Integration, Differentiation, and the Interactions between MNCS and Nation States
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
In the introductory article to a special issue on multinational corporations (MNCs) and employment practices, the authors highlight the key features of an international survey research project. Research teams carried out parallel surveys in four countries: Canada, Ireland, Spain, and the United Kingdom. These surveys are the most comprehensive investigations of the employment practices in MNCs in their respective countries. In framing the comparative analysis of these data, the teams had four objectives: (1) to explore the processes of integration and differentiation in MNCs, including the interactions among MNCs and nation states and their impact on employment practices; (2) to chart the influence of foreign direct investment (FDI) and systems of industrial relations; (3) to outline the key elements of the research design and chart the process of collecting data; and (4) to provide a summary of the patterns of integration and differentiation found among MNCs.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it