Market Making and the Role of Intermediary Firms in Marketing of Genetically Modified Livestock Products
Bibliographic record
Abstract
Agricultural biotechnology, by changing the process of agricultural production in the agri-food sector has posed serious challenges for the industry. The fundamental problem was that the biotechnology industry, with tremendous vertical integration from the research sector through to farm gate, has still relied upon decentralized markets to commercialize their products. Their innovations have for the most part been left to find their consumer markets.
 This work was done by an illustrated review of the existing literature and reports.
 The major contribution of this study to the economic literature is three-fold. First, it addresses an important issue in marketing GM livestock products. Second, the study discusses the theory of market microstructure in production economics. Third, it provides policy implications for managers and policymakers in the industry.
 This paper examined the theory of market-making and the role of intermediaries in creating new markets and hypothesizes that without intermediation in the biotechnology market, the optimal market size will not be realized, reducing private research investment and depriving society of the potential social gains of this new technology.
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.
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 | 0.002 | 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 | 0.000 |
| 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 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".