The Environments of Green Pea Galaxies. II. The Hα Dot Sample
Bibliographic record
Abstract
Abstract We use spectroscopic redshifts obtained with the WIYN 3.5 m telescope to study the local galactic environment around 18 Green Pea (GP) galaxies. Our sample of GPs were discovered in the Hα Dot Survey via their [O iii]λ5007 emission and span the redshift range 0.32 < z < 0.34. We present the environmental analyses near the location of the Hα Dot GPs. We utilize three different density estimators, chosen based on the geometry of the redshift survey data within the Hα Dot GP fields. We classify each Hα Dot GP into an environment category, from extremely isolated to highly clustered. We find that our entire sample of Hα Dot GPs reside in extremely isolated or low-density environments, with none located in the intermediate- to high-density regimes. We interpret this to indicate that major mergers and interactions do not drive the activity seen in these galaxies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".