Bibliographic record
Abstract
The evolution of interorganizational networks is shaped by micro and macro processes. At the micro level organizational dyads negotiate relationships in light of their own cost-benefit analysis. At the macro level resources flow through networks and are mobilized by coalitions. Current research is beginning to examine integrating mechanisms which link network dynamics to dyadic relationship formation. In this paper we examine interorganizational brokerage as an integrating mechanism linking micro and macro network processes. We focus on the formation of networks in the global television industry. The Children's Television Network (CTW) has licensed and co-produced its flagship program Sesame Street in many countries around the globe. Recently, it has expanded beyond a strategy based on direct first-order linkages to one of brokerage and interorganizational entrepreneurship, entailing the formation of second-order linkages--linkages between organizations with which CTW has direct first-order relationships. In the aftermath of the Oslo Peace Agreement, CTW acted as a broker and sponsor of a joint venture between Israeli and Palestinian broadcasters. The main challenge facing CTW was a high degree of distrust between the parties motivated by fears of opportunistic exploitation. Such fears typically result in high transaction costs, making joint venture formation difficult, if not impossible. In its capacity as broker, CTW worked to reduce transaction costs. This was done by providing resources where needed, and by facilitating interaction and trust building between the parties. We describe CTW's tactics during the formation of this joint venture, and we analyze the outcome of the joint venture from the point of view of CTW's overall strategy. We conclude by discussing CTW's network and brokerage strategy in the aftermath of the joint venture.
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How this classification was reachedexpand
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 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".