Bibliographic record
Abstract
The next five conversations all revolve around the topic of food. We start with Malik Yakini from the Detroit Black Community Food Security Network (DBCFSN). The organization was formed in 2006 in order to address food insecurity among Detroit's African-American community and to organize members of that community to play a more active role in local food security and food sovereignty. The primary location for growing food is the D-Town Farm, a seven-acre site in Rouge Park. D-Town is one of the largest urban agriculture sites in Detroit. Funded through the Kellogg Foundation, they are involved in both the production and selling of food in the City of Detroit, as well as working to educate local communities and visitors to Detroit. Malik Yakini serves as the executive director of the DBCFSN. He has been an activist for more than 40 years and has lived in the same house on the west side of Detroit since the 1960s. He was politicized and radicalized as a teenager and came of age during a very volatile time period in Detroit, characterized by protests and walkouts at the schools he was attending. His adult life has been dedicated to uplifting the community that he is a part of. For more information, see: http://detroitblackfoodsecurity.org or www.d-townfarm.com Can you explain the concept of food security and why it's such an important issue in Detroit? Food security is generally understood as being a condition that exists when all the members of a community have adequate amounts of culturally appropriate food. When we started the DBCFSN, we were familiar with the term food security . But as our awareness of that term grew, we realized that what we were actually looking at was food sovereignty , more so than food security because food security only speaks to people having adequate amounts of food. As one of my teachers and comrades, Raj Patel, says, “you can have food security in prison.” So we are really struggling for something much broader than that, which is control of the systems that provide our food. This includes how that food is grown and transported, and justice with how that food is accessed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.203 | 0.033 |
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 source (direct Gemma or distilled Codex), 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".