From Forest to Frame: Building a Regionally-Sourced Southern Yellow Pine (SYP) Mass Timber Building in Georgia
Bibliographic record
Abstract
619 Ponce, located in the historic Fourth Ward of Atlanta, Georgia, is a 114,000 square foot, four-story mass timber office and retail building currently under construction (will be complete in early 2024). The building is part of a larger master development that includes the historic Ponce City Market building, on what was formerly a surface parking lot. Since the parent company of the building’s developer is also an owner of Southern Yellow Pine (SYP) timberlands in Georgia, the opportunity to regionally source the timber to be used for the building presented itself. However, in comparison to the European mass timber industry, the Southeastern U.S. regional supply chain is much more fragmented. Typical for the region is a siloed series of steps between forest owners, managers, loggers, mills, mass timber fabricators, and finally, installers, without infrastructure in place to track specific timber through the various separate businesses that operate in each segment of the supply chain. This segmented supply chain drives up costs and complexity in comparison to vertically integrated mass timber markets in Canada and Europe. Due to the nature of the developer’s business model and ESG goals, there was interest in exploring the possibility of doing a regionally-sourced mass timber building. The embodied carbon reductions alongside supporting the economic growth of the local and regional mass timber industry were also major factors in the evaluation of the project’s feasibility. In 2021 via HB 355, the State of Georgia enacted an update to the 2004 GA Carbon Registry, expanding it to include building products and materials that can demonstrate carbon sequestration. Therefore, a market that previously relied on credits generated solely by land conservation, forestry, and agriculture now includes mass timber and carbon-infused concrete to generate new value.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".