Birding the Delaney Wildlife Management Area
Bibliographic record
Abstract
The 580-acre Delaney Multipurpose Flood Control and Wildlife Management Area lies in the towns of Bolton, Harvard, and Stow.It is managed as part of the SUASCO (Sudbury, Assabet, Concord rivers) Watershed Project by the Massachusetts Division of Fisheries and Wildlife.The area contains a variety of habitat -Delaney Pond, formed by a dam at its south-east corner; open grassland as part of the flood control area; small meadows, wetland areas, mixed forest, and one of the largest cattail marshes in this part of the state.Delaney is probably less well known, and consequently less frequently birded, than nearby areas such as Bolton Flats and the Oxbow National Wildlife Refuge.But its habitat variety makes it attractive to a wide range of migrants and to many breeding species.Winter is undoubtedly the slowest season there, but checking the area during milder winters or during flight years of irruptive species might yield some interesting finds.As Delaney is within walking distance of our house, it has become one of our favorite local birding areas.In approximately five years of monitoring the area, we have recorded 133 species -a full list is given at the end of this article. Access to DelaneyFrom Interstate 495 take exit 27 (Route 117), toward Bolton and Stow.Follow Route 117 east, in the direction of Stow, for 2.5 miles, passing Skinner Auction, Bolton Spring Farm, and Future Electronics (formerly GenRad) on the left.Just before crossing the town line into Stow, turn left onto Delaney Street and continue for 0.6 mile to where the road ends at a T-junction.At this junction turn left onto Harvard Road and proceed for 0.5 mile to a parking area and boat ramp on the left.Parking is also possible at trailheads on Finn Road (0.4 mile after the boat ramp, turn left, and proceed 0.3 mile).There is also parking at a dirt pull-off on Old Harvard Road (0.6 mile after the boat ramp, bear left onto Gamer Road and proceed for another 0.3 miles) which overlooks the northeast side of the marsh.As its official name suggests, Delaney sees many uses.It is popular with local residents exercising their dogs, with fishermen, and with hunters in the appropriate seasons -so take the usual hunting-season precautions.On occasion, golden retriever clubs use the area near the dam to train their dogs, including retrieval of objects fired into the pond.Of course, this is not conducive to birding, but the activity can be easily avoided by getting there early.The boat ramp and dam areas are the most heavily used; other parts are much less frequented.Also remember to bring insect repellant during mosquito season (they are abundant!),and don't forget to check for ticks at the end of any outing.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.292 | 0.083 |
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".