ASSESSING THE DYNAMIC RESILIENCE OF NEWLY ESTABLISHED SALT MARSHES TO WAVE-INDUCED STRESS OVER TIME
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Restoration of coastal salt marshes has become progressively more common as the ecosystem services provided by these systems, including flood protection and shoreline stabilization, have been acknowledged. Recent examples in Canada include a marsh restoration in Boundary Bay (British Columbia) and a managed realignment at Belcher Street (Nova Scotia) (van Proosdij et al., 2023). To date, most laboratory-based live vegetation experiments have used transplanted natural marshes (Möller et al., 2006; Maza et al., 2022), which are representative of established marsh conditions. However, seasonal fluctuations in biomass and the reduced density of newly established (constructed) marshes compared to their natural counterparts (Tempest et al., 2015) can potentially result in significant variability in performance. There is a pressing need to understand the performance of newly established marshes to better characterize short- term benefits and ensure the long-term viability of these restoration efforts.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it