International Perspectives on Age-Friendly Cities
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
Foreword: International Perspectives on Age-Friendly Cities John R. Beard and Lisa Warth. Acknowledgments. Introduction: International Perspectives on Age-Friendly Cities Kelly G. Fitzgerald and Francis G. Caro Part I: Case Studies: Cross-Cutting Themes. Europe. 1. Developing Age-Friendly Cities: Case Studies from Brussels and Manchester and Implications for Policy and Practice Tine Buffel, Paul McGarry, Chris Phillipson, Liesbeth De Donder, Sarah Dury, Nico De Witte, An-Sofie Smetcoren and Dominique Verte 2. Ireland's Age Friendly Cities and Counties: The Development of a National Program Sinead Shannon and Hugh O'Connor. Asia. 3. From Age-Friendly Research to Age-Friendly City and Age-Friendly Regional Network: Case of Tuymazy and Republic of Bashkortostan, Russian Federation Gulnara A. Minnigaleeva 4. Successful Aging in High-Density City State: A Review of Singapore's Aging Policies and Urban Initiatives Keng Hua Chong, Zheng Jia, Debbie Loo and Mihye Cho. Canada. 5. Lessons Learned from a Canadian, Province-Wide Age-Friendly Initiative: The Age-Friendly Manitoba Initiative Verena H. Menec, Sheila Novek, Dawn Veselyuk and Jennifer McArthur 6. Age-Friendly City in Quebec (Canada), or Alone It Goes Faster, Together It Goes Further Suzanne Garon, Mario Paris, Andreanne Laliberte, Anne Veil and Marie Beaulieu. United States 7. Portland, Oregon: A Case Study of Efforts to Become More Age Friendly Alan DeLaTorre and Margaret B. Neal 8. The Environment of Environmental Change: The Impact of City Realities on the Success of Age-Friendly Programs Allen Glicksman and Lauren Ring Part II: Special Topics 9. Commentary: Changing Practice and Policy to Move to Scale: A Framework for Age-Friendly Communities across the United States M. Scott Ball and Kathryn Lawler 10. Transforming the Way We Live Together: A Model to Move Communities from Policy to Implementation Laura Keyes, Deborah R. Phillips, Evelina Sterling, Tyrone Manegdeg, Maureen Kelly, Grace Trimble and Cheryl Mayerik 11. Making the Right Moves: Promoting Smart Growth and Active Aging in Communities Kathleen E Sykes and Kristen N. Robinson 12. Does the Village Model Help to Foster Age-Friendly Communities? Andrew E. Scharlach, Joan K. Davitt, Amanda J. Lehning, Emily A. Greenfield and Carrie L. Graham 13. Multigenerational Planning: Integrating the Needs of Elders and Children Mildred E. Warner and George C. Homsy 14. Age-Friendly Community Policy Innovation: Complete Streets Implementation in Louisiana, United States Billy Fields and Jason Tudor 15. Age-Friendly Cities and the WHO Checklist: Lessons from a Portuguese Survey Alexandra Lopes, Teresa Pinto and Rute Lemos. Appendix to Chapter 15: Age-Friendly Cities and the WHO Checklist: Lessons from a Portuguese Survey Alexandra Lopes, Teresa Pinto and Rute Lemos
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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