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Record W3212854221 · doi:10.32920/14648196.v1

An Urban Revolution Through Age Friendly Cities? The Case Of Toronto

2021· preprint· en· W3212854221 on OpenAlexaffabout
Meghan Joy

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsToronto Metropolitan UniversityMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsRedistribution (election)Neoliberalism (international relations)MainstreamPopulationNormativePublic policyPoliticsSociologyPublic relationsPolitical sciencePublic administrationEconomicsEconomic growthPolitical economyLaw

Abstract

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This dissertation examines the claim that Age Friendly Cities (AFCs) represents an effective and revolutionary policy approach to population aging. The AFC approach is a placebased policy program intended to enhance the ‘fit’ between senior citizens and their environment. Mainstream accounts of AFCs claim that the program represents a paradigmatic shift in the way we think about aging, to move away from an individual health deficit approach to one that seeks to improve local environments by empowering seniors and local policy actors. However, initial critical literature notes that while AFCs may offer the potential to expand social and physical infrastructure investments to accommodate diverse population needs, they are being popularized in a conjuncture where the public sector is being restructured through narrow projects of neoliberalism that call for limiting public redistribution. This literature calls for further empirical studies to better understand the gap between AFC claims and practice. I heed this call through a qualitative case study of AFCs in the City of Toronto; a particularly relevant case because the recent Toronto Seniors Strategy has been critiqued for being more symbolic than substantive. My research represents a critical policy study as I understand AFCs not as a technical policy tool but as a political object attractive to conflicting progressive and neoliberal projects that use rhetorical and practical strategies to ensure their actualization. My approach is normative as I seek to provide insight for a transformative ‘right to the city’ for senior citizens through the AFC approach. I use literature on citizenship to understand the multiplicity of political projects that seek to expand or narrow the relations between people, environments and institutions through the AFC program. This understanding is based on the meanings 82 different policy actors from local government, the non-profit sector, academia, and other levels of government make of their everyday work in creating age-friendly environments. The broad question I ask is: How do local policy actors understand the rhetoric and practice of AFCs in Toronto and how do these understandings illustrate particular expansive and narrow political projects that affect the development of a right to the city for senior citizens through this policy program? I begin with an initial Case Chapter that scopes age friendly policy work in Toronto from a ‘seeing like a city’ perspective that identifies the complex multi-scalar and multi-actor nature of this policy domain. The Recognizing Seniors and Role of Place Chapters then examine AFCs rhetorically with respect to how local policy actors understand the ‘person’ and the ‘environment’. The Rescaling Redistribution and Restructuring Governance Chapters explore the practice of AFCs, including how local policy actors understand their capacities to design and deliver age-friendly services and amenities and the institutional mechanisms at their disposal to action AFCs. My findings challenge the claim that the AFC policy approach is effective, let alone revolutionary. I learn from policy actors that narrow projects of restructuring work to assemble seemingly progressive rhetoric and practice around active aging and localism to reduce universal public provision, expand the role of private citizens and their families to provide care, and use local policy actors as residual providers of last resort. My research documents how more expansive understandings of senior citizens as rights bearers and the role of the public and non-profit sector to recognize and redistribute on this basis are also in operation. Understanding these political projects more deeply through the AFC policy program helps me to offer policy insight as to what is needed both rhetorically and practically to craft a more effective and revolutionary alternative AFC model based on a right to the city for senior citizens.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.685

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0400.027
Scholarly communication0.0090.004
Open science0.0010.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.026
GPT teacher head0.324
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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