Value Beyond Price: End User Value Chain Analysis
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
Uniqueness does not lead to value addition, if it is not valuable to the consumer. A supplier’s value chain activity is inherently dependent on the satisfaction it provides to consumers in addressing their needs. This is particularly important since the supplier’s product is the input in the consumers’ value chain. Therefore, this article presents a methodological framework of value-chain concept and analysis that is tailored to revealing and understanding consumer needs by ensuring that the consumer is the focus of the analysis. The framework proposes to view the consumer beyond just a buyer by understanding its own value chain within which the product fits in. This is achieved by defining the consumption chain and assessing the consumers experience with the product. It therefore goes beyond analyzing the factors affecting the availability and prices of food products to more subtle value elements including acceptability, utilization, physical and nutritional quality of food. Following that, it introduces the consumer into the supply chain by realigning production processes based on identified consumer requirements. The framework focuses on getting the product value chain to focus on providing consumer value by identifying areas where activities can be adjusted to have a greater influence on the consumption chain.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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