Mapping Marine Ecosystem Service Values and Threats
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
"Recognizing that local knowledge and values should play a prominent role in natural resource decision-making, we tested a semi-structured interview protocol to solicit the verbal articulation, spatial identification and a quantitative measure of local monetary values, non-monetary values and threat intensity associated with marine ecosystem services. Ecosystem services are the ecological processes through which nature provides benefits to people. Interviewees identified and characterized a wide range of ways in which they value marine ecosystems in the Regional District of Mount Waddington in British Columbia, Canada. This research is intended to inform an ongoing marine spatial planning process in this region. A total of 30 semi-structured interviews were conducted based on non-proportional quota sampling to target interviewees with a variety of marine-related occupations who live across the district. There was significant spatial overlap among all three pair-wise comparisons of monetary values, non-monetary values, and threat intensity values. Employment in salmon aquaculture correlated with the perception that the ocean does not face environmental threat associated with this industry. A minority of respondents refused to participate in the spatial and quantitative components of this research, yet all verbally identified the importance of marine ecosystems. The results of this research and the methods could complement deliberative processes to enable decision makers to more fully consider stakeholder???s non-monetary values and threats associated with ecosystem services."
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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