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Record W2805820635 · doi:10.29173/pandpr29357

Lived Space and Support as Interrelated Phenomena in the Context of Young People with Mental Health Problems

2018· article· en· W2805820635 on OpenAlexvenueno aff
Mona Sommer, Tone Sævi

Bibliographic record

VenuePhenomenology & Practice · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Agency (philosophy)Space (punctuation)WonderMental healthSociologyPsychologyPublic spaceSustenanceSocial psychologyPublic relationsPolitical scienceEngineeringSocial scienceComputer sciencePsychotherapistLaw

Abstract

fetched live from OpenAlex

The Norwegian welfare system due to human rights is in charge of providing necessary supportof life to every citizen in terms of a safe place to live, the opportunity to education oremployment and meaningful life accomplishments. We explore how public sustenance isexperienced by a group of young receivers of public support. The article is one of three substudiesdrawing on empirical material from in-depth interviews with 14 young adults withmental health challenges and experiences from being partly or fully out of school or work. Theinterviews reveal that in particular three aspects of support are significant to the young. Theseare personal and shared space (e.g., supportive personal and professional relationships), theopportunity of a safe home, and the prospect of not being trapped for a lengthy time in theirproblems (an effective ‘standstill’ or suspension of agency of life), but be part of the “world outthere.” Could public support provide some temporary or permanent help with regard to thesebasic aspects of life? We explore in this article the potential interrelatedness between space andsupport in a hermeneutic phenomenological manner with basis in experiences from four of theyoung in the study. David, Mia, Oda and Simon (all pseudonyms) each in their way, describemoments where support and space seem to be existentially and experientially interconnected.We wonder if analysis of the two phenomena can inform our understanding of the qualities thatcharacterize what we might call a ‘supportive’ environment within public welfare.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.014
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0110.018
Scholarly communication0.0070.006
Open science0.0010.011
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.105
GPT teacher head0.408
Teacher spread0.303 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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