Socio‐political structures as determinants of global success
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
Especially over the past decade, there have been numerous changes in the global marketplace which indicate that change is the only constant fact of life. These changes have increased not only opportunities but also uncertainty for organizations. The dynamic environment provides organizations with continuous feedback, to which they need to adapt. Past success masks the multinational corporation’s ability to perceive and respond to these changes. The key to survival in such a setting is culturally sensitive organizational learning. Strategic planning is necessary to cope with different levels of uncertainty encountered in foreign markets and to fully tap the new resources. Organizational effectiveness is directly influenced by the firm’s ability to achieve a “close‐fit” between the internal dynamics and the socio‐political structures. This, in turn, is possible through management practices sensitive to the local core cultural values. The Enron Power Project at Dabhol (Maharashtra, India) brings to light various socio‐political factors that have a direct impact on the organizational effectiveness, its survival and its long‐term success.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it