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 paper summarizes a design methodology — Environment Based Design (EBD) — developed over the last two decades. The EBD stems from the observation that design aims to change an existing environment to a desired one by generating a new artefact. Design starts from the environment, functions for the environment, and brings changes to the environment. This environment changing process implies the recursive evolution of design problems, design knowledge, and design solutions. Three basic activities are included in the EBD: environment analysis, conflict identification, and solution generation. In introducing the EBD, four major requirements for an effective design methodology are firstly formulated from the perspective of the nature of design, cognitive model of design, and the driving force underlying design. The mathematical, semantic and algorithmic foundations of the EBD are then presented to define methods and procedures for solving a design problem. Experimental validation and industrial applications are summarized to show the effectiveness of the EBD. Future research questions are also given in the paper.
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) | 0.012 | 0.002 |
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