Bibliographic record
Abstract
Milk prices for Connecticut farmers rebounded to $16.66/cwt in the third quarter of 2016, the highest monthly average price since the fourth quarter of 2015. A dumping policy available to producers under the Northeast region’s federal milk marketing order helped somewhat with these prices during the first half of the quarter. At the same time, the monthly average cost of production increased by $2.24/cwt, to $34.25/cwt. Over 40% of the increase in cost of production ($0.93/cwt) can be attributed to an increase in the cost of purchased feed per hundredweight of milk. The monthly average shortfall of prices minus the minimum sustainable cost was $11.42/cwt, similar to the shortfall in the second quarter. Thus, we see a need for continuing payments in the future to Connecticut dairy farmers under Public Act 09-229. Looking ahead, national milk prices are expected to remain low; national milk production in August was 1.9 percent higher than in August 2015. Feed prices are expected to remain fairly stable. Taking these factors together, we can expect that the minimum sustainable cost of milk production will continue to exceed the price of milk, and that Connecticut dairy farmers would face additional financial pressure in the absence of payments under Public Act 09-229. Length: 1 page
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".