Bibliographic record
Abstract
This paper defines a new concept, home boundary (HB), to provide an integrated framework for understanding the effects of architectural features that influence residents’ connections to nature, social life, and the outside world. The concept emerged from a narrative literature review of publications identified through a bibliographic search on Scopus, consolidating fragmented concerns and knowledge into identification of the primary research areas and relevant gaps and pointing to future research directions. In contrast to the current perspective, a comprehensive approach to the HB; treating it as a system for the facilitation of effective indoor-outdoor connectivity and considering all cultural and contextual factors, would mitigate residents’ isolation at home and its adverse effects on their health and well-being, particularly in forms of housing where residents are largely disconnected from nature, social life, and the outside world. Interdisciplinary collaborations are essential to understand all these aspects and to identify strategies for addressing them. A communication network between researchers, designers, planners, and policymakers is required to translate research findings into innovative practical applications which are tailored to specific physical and cultural contexts. This approach can lead to meaningful changes in conventional housing practices and the development of planning guidance and regulations that will support health and well-being in both future and existing housing. • The impact of home on residents’ health and well-being extends beyond its indoor spaces, encompassing the quality of indoor-outdoor connectivity. • This paper defines the home boundary (HB) concept to consolidate fragmented studies in this area, directing them toward more purposeful and practical paths to achieving healthy and resilient housing. • The HB should be viewed through a comprehensive lens and treated as a system, considering all cultural and contextual factors to identify and leverage opportunities for maximum benefits. • The HB is a less-explored niche in environment-behavior research, providing a context for a wide range of interdisciplinary studies. • This concept may lead to meaningful changes in conventional housing practices and the development of planning guidance and regulations for both future and existing housing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.036 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".