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Record W3046060781 · doi:10.1921/gpwk.v29i1.1434

Les facteurs d’aide : Pour une meilleure compréhension des éléments-clés de l’intervention en contexte de nature et d’aventure

2020· article· fr· W3046060781 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGroupwork · 2020
Typearticle
Languagefr
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Les programmes d’intervention en contexte de nature et d’aventure (INA) font l’objet d’études depuis plus d’une cinquantaine d’années. Malgré la reconnaissance des effets qui leur sont attribués, peu de travaux portent sur les processus s’opérant dans ces interventions. L’objectif de cet article est d’identifier ces processus et de mieux comprendre leur influence sur l’expérience de groupe. Pour ce faire, le modèle des facteurs d’aide (FA) a été retenu. Des entrevues semi-dirigées ont été réalisées auprès de 23 sujets âgés de 17 à 21 ans ayant participé à une expédition de 18 jours. Les éléments-clés de l’INA sont les suivants : la multitude de défis, la déstabilisation, la relation entre les enseignants et les participants et le milieu naturel. Ensuite, leur relation avec les FA est mise en relief. Il est question de : l’altruisme, les comportements d’imitation, la cohésion, la connaissance de soi, le partage d’information, l’universalité et les techniques de socialisation. Les apprentissages interpersonnels, la catharsis, l’espoir, les facteurs existentiels et la récapitulation corrective de la famille sont absents. Ces résultats mettent en lumière l’interaction entre les éléments-clés de l’INA et les FA, et la pertinence de s’y intéresser en travail social de groupe.A number of studies have addressed outdoor and adventure programs over the past fifty years. Despite empirical evidence that demonstrates the personal benefits of these programs, research investigating the key features responsible for these effects is scarce. The purpose of this article is to identify them and understand their influence. In order to achieve this goal, the data were examined from the perspective of helping factors (HFs). Semi-structured interviews were undertaken with 23 subjects aged between 17 and 21 who had participated in an 18 day expedition. The results show that participation in the program promoted key features: multiple challenges, the experience of destabilization, the relationship between the facilitators and group members and finally, the experience of being in wilderness. Then, relationships between key features and HFs are highlighted. Many of them are found: altruism, imitative behavior, cohesiveness, self-understanding, imparting information, development of socializing techniques, and universality. Interpersonal learning, catharsis, hope, existential factors, and corrective recapitulation of the primary family group are absent. These results give a better understanding of how key features interact with HFs in nature and adventure settings and its relevance in social work with groups.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.039
GPT teacher head0.374
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