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Record W2946411712

Social intervention in rural areas: Tools and methods of observation

2018· article· en· W2946411712 on OpenAlexaboutno aff
Alexandre Pagès

Bibliographic record

VenueVie sociale · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)Citizen journalismAction (physics)Rural areaParticipatory action researchSociologyIsolation (microbiology)Social isolationPolitical sciencePublic relationsPsychology
DOInot available

Abstract

fetched live from OpenAlex

This article complements an article to appear in the journal: Nouvelles pratiques sociales (Montreal). The author analyses the way in which public policy is elaborated and implemented in local areas and suggests a combination of approaches. The article comments on some of the data from ASCO (Action sociale des communes et intercommunalites) survey and shows that in rural environments, social intervention is principally aimed at target populations at the two extremes of life with particularly strong attention to children and young people over the past few years. The author suggests that initiatives and local experiments should be studied on the basis of a three-point view of knowledge and sources of information. While presenting what has been done in Bourgogne and also in two Canadian provinces, the author emphasizes the importance of promoting participatory approaches to account for the expression of residents of low-density rural areas. It is also important to understand how social workers, non-profits, and elected representatives are capable of adapting their work so as to counteract the social isolation of the most fragile groups and to improve their quality of life.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.989

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.100
GPT teacher head0.444
Teacher spread0.345 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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