Strategies for Successfully Marketing and Stabilizing the Occupancy of Mixed-Income/Mixed-Race Properties: A Case Study of Cedar Beech and Elm Street Properties in Manchester, New Hamsphire
Bibliographic record
Abstract
Cedar Beech and the two Elm Street properties make up 92 units of mixed-income, mixed-race multifamily housing in Manchester, New Hampshire. Almost half of the residents have incomes below 30 percent of area median income, while a quarter have incomes between 51 and 80 percent of median and a small number (8 percent) have incomes above 80 percent of area median income.The properties were developed and are owned by Manchester Neighborhood Housing Services (MNHS) as part of that non-profit organization's mission to stabilize and revitalize city neighborhoods and to provide affordable housing. Cedar Beech was redeveloped and placed in service as a Low Income Housing Tax Credit (LIHTC) and HOME property in 1994. The properties on Elm Street were placed in service in 2001 with subsidies from LIHTC, HOME, and the Federal Home Loan Bank of Boston's Affordable Housing Program.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".