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
This report is the continuation of a previously initiated project, which resulted in the designation of a more environmentally sustainable residence, or ecopod, within the Columbia Lake Townhouses of the University of Waterloo. Though this ecopod will commence in the fall of 2003, no marketing plan for it exists. Satisfying this need is the focus of our study. A good marketing concept is an all consuming process which determines what the consumer wants and needs, then provides it. Therefore, our goal was to determine the mediums through which most incoming students gained information on residences, how many students would be interested in living in a an environmental residence, and how we could market the ecopod effectively. The research question that we sought to answer was, “how can we market the CLT ecopod to encourage environmentally conscious individuals to want to live there?” The methods used to obtain our research objectives included focus group discussions with the University of Guelph eco house residents in order to gain an understanding of the strengths and weaknesses of how their eco residence functions so that we may make educated recommendations on what should be implemented in the CLT ecopod. High school surveys were done in order to understand the needs and expectations of potential ecopod residents. Secondary research included literature reviews of marketing texts and similar projects which have been previously implemented. Based on the results of our research methods we have postulated eight recommendations. These include:
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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