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Record W3114492674 · doi:10.1080/17482631.2020.1863598

Vulnerable persons in society: an insider’s perspective

2020· article· en· W3114492674 on OpenAlexaff
Wilma Numans, Tine Van Regenmortel, René Schalk, Juliette Boog

Bibliographic record

VenueInternational Journal of Qualitative Studies on Health and Well-Being · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsInsiderPerspective (graphical)SociologyEnvironmental ethicsPolitical scienceCriminologyComputer scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Purpose: Self-reliance and social participation are strongly promoted by social policy. Both concepts are linked to the concept of vulnerability, for people who do not meet these standards are labelled “vulnerable people”. In this paper, the insider’s perspective takes central stage by seeking to explore what it means to be labelled a “vulnerable person”, and through this to further our insight into the meaning of the concept of vulnerability.Method: Thirty-three in-depth interviews were conducted with 16 allegedly vulnerable people. The data were subjected to thematic content analysis.Results: Our analysis revealed three main dimensions and eight sub-dimensions of perceived vulnerability, outlining an insider’s concept of vulnerability. This concept includes manifestations of vulnerability, feelings coexisting with vulnerability, and the image of vulnerable people.Conclusion: The perception of vulnerability changes when interacting with others in society, especially with social policy implementers. In this interaction, the perceived vulnerability increases and becomes societal vulnerability. It concerns a dependency situation in which one’s strength and self-determination are not recognized, and the help needed is not provided. By acknowledging the insider’s perspective, social policy can fulfil a more empowering role towards “vulnerable people” and contribute to people’s well-being.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.076
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.238
GPT teacher head0.573
Teacher spread0.335 · 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 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

Citations28
Published2020
Admission routes1
Has abstractyes

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