On the economic nature of behavioural control in smart real estate
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 implementation of smart technologies in the built environment presents unprecedented opportunities and challenges for the real estate sector. Among the challenges is building occupants’ behavioural control due to smart buildings’ technological apparatus underpinned by pervasive computing. Since the early days of cybernetics, control stemming from information technology has generated many arguments about freedom, privacy and surveillance. Arguments only focused on technology or ethics tend to foster a Manichean view which obscures our ability to rationally assess calm and transparent technology’s role in controlling space users’ behaviours in smart buildings. The paper applies two classic economic frameworks to decipher the economic nature of behavioural control in smart real estate. In the process, it sheds some light on the complex utilitarian relationship between behavioural control and smart space’s user centricity. It concludes by assessing whether regulators should step in, for instance, through de jure property rights allocation among all parties.
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 | 0.001 | 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 | 0.000 |
| 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