Begin with Benefits: Reducing Bias in Conservation Decision-Making
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
The National Trust for Scotland (NTS) has undertaken a radical revisioning process via a collections and interiors review to protect significance whilst broadening support for conservation. This project reframes the consequences arising from a selection of current and possible uses of collections within an historic building. It creates a lifetime risk approach against which short-term activities can be benchmarked to inform decision-making at a local level. Instead of framing consequences from operation or more intense visitor patterns in terms of tangible change the project jointly conceives benefits across the mission of NTS allowing a direct comparison between benefits and consequences. A representative selection of current and possible use scenarios is being generated by the staff of Newhailes House, Edinburgh. A framework is presented in which the anticipated benefits from proposed activities will be identified and roughly quantified. Results of these assessments will be manipulated to create effective communication visuals. Psychology suggests that this will enable a more informed and balanced stakeholder engagement. This project fundamentally shifts the conservation discussion from permissive versus conservative conservation approaches, replacing the statements that ‘I am a no touch’ or ‘I am a please touch’ conservator with an evidence-informed and bias-reduced decision-making strategy.
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 | 0.001 |
| 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 | 0.000 | 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