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The Settlement House Movement Revisited

2020· book· en· W4231780621 on OpenAlexaboutno aff

Bibliographic record

VenuePolicy Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)GlobeSocial movementWork (physics)Movement (music)Political scienceGeographySociologyLawPoliticsEngineeringPsychology

Abstract

fetched live from OpenAlex

The Settlement House Movement is perceived as a major influence on the emergence of the social work profession globally. Yet, historical research on this movement in social work, and in particular, the transnational translation of this idea, is very limited. This volume sheds new light on the establishment of settlement houses in diverse societies, the interface between this Movement and other social movements, and the impact that it had on the social work profession, its values, practices and research. The chapters in the book explore the settlement house phenomenon in the United Kingdom, the United States, Germany, Canada, France, Portugal and Mandatory Palestine and the individuals and groups that played a major role in their establishment. They underscore both the ways in which the international Settlement House Movement developed, the commonalities between settlement houses across the globe, and also the differences that emerged between them. In particular, it seeks to highlight the various motivations and sources of belief and knowledge of settlement founders, the goals that they sought, the contexts in which they worked, the activities they undertook and the populations which they served. The critical and transnational historical perspective adopted by the authors of the case studies in the path-breaking book provides the reader with a more subtle understanding of the complexities of the Settlement House Movement and its impact on the social work profession.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.478
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.076
GPT teacher head0.387
Teacher spread0.311 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2020
Admission routes1
Has abstractyes

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