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Record W3190219214 · doi:10.1080/15283488.2021.1960166

Using Contextual Action Theory and Action-Project Method to Study Real-Time Identity

2021· article· en· W3190219214 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIdentity · 2021
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAction (physics)Identity (music)Meaning (existential)Action researchSocial identity theoryComputer sciencePsychologySocial psychologyEpistemologySocial groupMathematics education

Abstract

fetched live from OpenAlex

This conceptual paper describes how Contextual Action Theory and its associated methodology, the Action-Project Method, can be used to study real-time identity processes as they are embedded in identity construction over time. Contextual Action Theory is a conceptual framework based on the view that human action is goal-directed. In this view, identity construction is conceptualized as a series of goal-directed actions over an extended period of time. Within that series of actions are the specific real-time identity processes defined as everyday activities as people engage together. These real-time processes operate as building blocks of identity construction. The Action-Project Method is a comprehensive protocol for conducting longitudinal qualitative research. Goal-directed actions are considered through three interacting dimensions: (a) levels of action, (b) perspectives on action, and (c) action systems. The Action-Project method is designed to collect data from the three perspectives on action: manifest action, internal processes, and social meaning. The description of the theory and method in relation to identity construction is followed by two case illustrations. The first case illustration demonstrates the use of the theory and method with two socially-related young adult participants. The second case illustration involves a counselor and a young adult participant.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.145
GPT teacher head0.499
Teacher spread0.354 · 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