Partnership of convenience or opportunity for growth? : investigating the role of retailers in expanding local food schemes in the case study of EDEKA branches in northern Germany
Bibliographic record
Abstract
In the past years growing interest in alternative forms of food supply chains has incentivised researchers to investigate the role of retailers in Short Food Supply Chains (SFSC) mainly in the United States, Canada and the EU, with little attention paid to SFSC retailer interaction in the German context specifically. The aim of this thesis to contribute to the existing literature by investigating how the country’s presumed institutional conditions affect the viability of selling via retailers for a certain type of SFSC producer. The location of the study was northern Hamburg, Germany. Six semi-structured interviews, substituted with four questionnaires, were conducted with micro- to large-scale producers involved in local SFSC schemes and selling via branches of the supermarket chain Edeka, and a group of producers who did not sell via this retailer. A document analysis of statements of producers and other stakeholders on the cities intention to support local agriculture by creating additional demand provided an overview of the effects of agricultural circumstances and policies had on SFSC. The interviews were analysed by applying Stevenson and Pirogs ‘values-based supply chain’ framework and showed that only micro- or mid- to large scale producers profited from the cooperation, which in the latter case was more of a partnership of convenience. In combination with the document analysis, which found limited land and capital access, expensive certification, as well as the need for more training in marketing and demand to impact local farmers, this conclusion indicates that additional outlets are not the only tools the city has to support local, especially small scale, agriculture.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".