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Jane Addams and the Return to Settlement Sociology

2022· book-chapter· en· W4298002527 on OpenAlexaff
Erik Schneiderhan, Kaitlyn Quinn

Bibliographic record

VenueOxford University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSettlement (finance)RealmSociologyDynamismSocial workClanSocial mediaPolitical sciencePublic relationsMedia studiesLawBusinessEpistemology

Abstract

fetched live from OpenAlex

Abstract With the advent of the internet and the proliferation of social media in the early 21st century, how people help each other has changed dramatically. The process of neighbors helping neighbors has increasingly shifted to the digital realm, with social media posts and shares replacing handshakes and conversations on the front porch. This chapter, drawing on the settlement sociology of Jane Addams, considers this shift and its implications for how people help each other. It argues that in privileging the digital over in-person social relations, we have lost a precious and important part of the fabric of society. It shows how current practices, celebrated as transparent, democratic, and technologically advanced, are in fact not very different from the inequitable and haphazard pre-welfare state methods of helping in the 19th century that Addams worked so hard to mitigate and replace through settlement houses, charity organization reform, and eventually the profession of social work. Finally, this chapter proposes a way forward, informed by Addams’s settlement sociology theory and practice and grounded in the dynamism and propinquity of in-person social relations.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.016
Scholarly communication0.0060.007
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.022
GPT teacher head0.233
Teacher spread0.211 · 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 designTheoretical or conceptual
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

Citations1
Published2022
Admission routes1
Has abstractyes

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