Landscape Design Guidelines for Enduring Industrial and Manufacturing Spaces: A case study of the working waterfront of Lunenburg, Nova Scotia
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
Since the 19th century, industry has sought to incorporate green space into their landscape, beginning with the factory garden and continuing through to corporate landscapes today. Academic literature does not address best practices for designing industrial and manufacturing landscapes. The goal of this research is to create design guidelines for industrial landscape architecture that will be developed through a literature review and critiqued using key informant questionnaires and a critical case study. The results showed that the design guidelines developed provide a foundation for addressing environmental and social outcomes of industrial landscapes by prompting the designer to reflect about the impacts of their design, and reframing sustainability as enduring to promote active connotations. This research aims to contribute to the quality of life for rural communities that are integrated with industry and build knowledge on best practices for the design of industrial spaces.
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 | 0.001 | 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