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Record W2226479742 · doi:10.1177/2167696815610695

Understanding Goal-Directed Action in Emerging Adulthood

2015· article· en· W2226479742 on OpenAlexaff
Jessie M. Wall, Ada K. Law, Ma Zhu, David Munro, Filomena Parada, Richard A. Young

Bibliographic record

VenueEmerging Adulthood · 2015
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConceptualizationPsychologyAction (physics)Context (archaeology)Meaning (existential)FriendshipIdentity (music)Cognitive psychologyGoal orientationGoal settingSocial psychologyDevelopmental psychologyComputer sciencePsychotherapist

Abstract

fetched live from OpenAlex

This article describes an alternative framework for conceptualizing and researching emerging adulthood based on the notions of goal-directed processes. Specifically, contextual action theory (CAT) is proposed to add value to understanding transition-to-adulthood processes because of its emphasis on description, intentional action, and relational context. A related naturalistic, longitudinal method, the action-project method (A-PM), is used to study joint, goal-directed actions and projects (multiple actions over time). The A-PM qualitatively describes joint projects of emerging adults and those involved with them by relying on three perspectives of action: manifest behavior, internal processes, and social meaning. The method consists of video recording joint action between participants, accessing internal processes of action through a video playback interview, and monitoring joint projects over time. This conceptualization and method have been used to describe the joint goal-directed processes inherent in emerging adulthood including parent–youth relationships, friendship, identity formation, and school–work transitions.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.008
Scholarly communication0.0040.006
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.136
GPT teacher head0.367
Teacher spread0.230 · 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 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

Citations19
Published2015
Admission routes1
Has abstractyes

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