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Record W2154539546 · doi:10.3402/edui.v3i3.22046

From risk to resilience

2012· article· en· W2154539546 on OpenAlexaboutno aff
Kristiina Brunila

Bibliographic record

VenueEducation Inquiry · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionArgument (complex analysis)EthosSociologyPsychological resilienceUnemploymentPhenomenonEmpirical researchPolitical scienceCriminologyPublic relationsPsychologyEconomic growthSocial psychologyMedicineLawEpistemology

Abstract

fetched live from OpenAlex

This article considers the rise of therapeutic education in Finland, a phenomenon already acknowledged in Europe, Canada and the United States. In Finland, the therapeutic ethos has been assimilated into educational policies and practices, but the shift to therapisation and especially its consequences have attracted little interest in critical educational research. This article is based on a Foucauldian discourse-analytic methodology and on a previous empirical study. It emphasises the effects of therapeutic interventions in education and focuses on project-based educational practices that deal with young adults who are on the margins of society. The central argument is that therapeutic interventions force young adults to focus more on themselves and lead to an internalisation of the idea that societal problems such as unemployment, a lack of education or criminal behaviour are in fact individual-based.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.035
Scholarly communication0.0060.007
Open science0.0010.014
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.044
GPT teacher head0.406
Teacher spread0.362 · 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
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

Citations67
Published2012
Admission routes1
Has abstractyes

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