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Record W2257468511 · doi:10.14288/1.0092913

Restructuring the child welfare dialectic : state-community interactions and communnity responses in the governance of child welfare in rural and remote localities

2010· article· en· W2257468511 on OpenAlexaboutno aff
Judy Gillespie

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringWelfareCorporate governanceDialecticState (computer science)Welfare stateBusinessPolitical scienceEconomic growthEconomicsMarket economyLawFinance

Abstract

fetched live from OpenAlex

The challenges facing child welfare and child protection systems in the 21st century are resulting in efforts to restructure their governance across western industrialized nations, including Canada. These challenges must be situated within the historic and contemporary crises in the welfare state, as well as broader questions regarding the governance of child welfare in an era of budget cutbacks and introduction of decentralized planning and service provision. A key question concerns how to understand the evolving relationship between state and communities, and the impact of restructuring on state-community relationships. This research examines efforts to restructure the governance of child welfare in three rural and remote communities in northwestern Alberta following the devolution of child welfare responsibilities from the provincial government to Regional Child and Family Service Authorities. This examination is informed by a conceptual framework that views the governance of child welfare as a set of dialectic relationships among children, parents, communities, and the state. The concept of the dialectic highlights the mutually reinforcing relationships between these various elements that are simultaneously autonomous, (inter)dependent to some degree, and parts of a whole system, in this case the system that provides for child welfare. Relationships among these elements are characterized by tensions, contradiction and conflict, making the governance of child welfare complex, problematic and constantly changing. The research focuses on the relationship between state and communities and reveals the important roles played by local cultural, institutional, and economic factors in shaping state-community interactions relevant to the decentralization of child welfare governance. The research demonstrates the importance of understanding how the complexities of intra-community relations, and intra-community change affect the way communities relate to various levels and formations of the state as decentralized governance of child welfare is structured and applied. This finding suggests that the concept of "network governance," informed by participatory governance principles, can be helpful in developing policy frameworks that effectively address the variations and complexities inherent in decentralized child welfare governance, and the high degree of institutional flexibility such governance requires.

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)0.004
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.953

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.033
Scholarly communication0.0080.002
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.242
Teacher spread0.231 · 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".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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