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Record W2613249816

The Relationship between Vocational Self-Concept Crystallization, Ego-Identity Status, and Occupational Indecision, as Mediated by Rational or Experiential Processing/La Relation Entre la Cristallisation Du Concept Professionnelle De Soi, L'état De L'ego-Identité, et L'indécision Professionnelle Par L'entremise Du Traitement Rationnel Ou Expérientiel

2016· article· fr· W2613249816 on OpenAlexvenueno aff
Jeffrey Landine

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2016
Typearticle
Languagefr
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCognitionExperiential learningVocational educationExperiential knowledgeCognitive Information ProcessingSet (abstract data type)Identity (music)Social psychologyInformation processingInformation processing theoryProcess (computing)Applied psychologyCareer developmentCognitive psychologyPedagogyComputer scienceEpistemology
DOInot available

Abstract

fetched live from OpenAlex

The Cognitive Information Processing (CIP) model of career development (Peterson, Sampson, & Reardon, 1991; Peterson, Sampson, Reardon, & Lenz, 1996) was developed in response to the needs of both counsellors and their clients to understand how individuals process information in conjunction with the task of making occupational decisions. Peterson et al. (1996) proposed that cognitive inputs in the form of self-knowledge and occupational knowledge are processed using a set of generic information-processing skills, and that the stages of processing culminate in the execution or implementation of a plan of action aimed at rectifying the identified problem.The nature of the CIP approach is unique (Zunker, 2002) in that it provides a useful and easy model for how occupational decisions should be made and describes how its components can be applied to career counselling. The CIP model is founded on solid psychological theory supported by a considerable body of research evidence (Jepsen, 2000). Despite the fact that Peterson et al. (1991) developed the theory more than 20 years ago, research evaluation of the model since then has been relatively slow. Additionally, the individual cognitive differences that moderate the decision-making process have not been investigated at any length, as indicated by the bibliography provided on the website dedicated to the theory (Sampson, Peterson, Reardon, & Lenz, 2014).Experienced counsellors will recognize that even when the same information is provided, clients vary greatly in their ability to make an occupational decision. This variability leads to the question: What are the factors that allow some university students to make occupational decisions easily and with confidence, while others flounder and experience significant levels of anxiety as they struggle? The research described here considers how much of the variability in occupational indecision could be attributed to each of vocational self-concept and identity. In addition, it was expected that the crystallization of self-knowledge in the form of vocational self-concepts and a vocational identity and their relationship to occupational indecision would be influenced by the tendency to think rationally or experientially.DEVELOPMENT OF SELF-KNOWLEDGEWhat we believe about ourselves is largely determined by our past experiences and the episodes they have created in memory. Our sense of self or identity is highly dependent on explicit memory for past episodes. This sense of self or understanding of who one is requires access to memories of personally relevant experiences (Klein, 2001). Hart and Fegley (1997) have conceptualized the self as being represented in memory at three different levels. At the highest level, the self-concept is a theory with a set of assumptions about the nature of self in relation to the world. At the next level, the self is made up of many interrelated schemas, and at the most specific level, the self is derived from and represented as specific personal episodes in memory. While all semantic self-knowledge is episodic in origin, over time personal facts from these episodes can be recalled in the absence of memory of the original episode (Haslam, Jetten, Haslam, Pugliese, & Tonks, 2011). The episodes stored in memory contribute to semantic self-knowledge about what we look like, think, feel, want, and do, and to autobiographical knowledge about events in which the individual participated (Haslam et al., 2011; Kihlstrom, Marchese-Foster, & Klein, 1997).Some of the many cognitive tasks that we engage in daily may require contentspecific information from episodic memory alone or from semantic memory alone, and other tasks may require content-specific information from both of these memory systems; self-trait description is one task that requires both (Klein, Cosmides, Tooby, & Chance, 2002). Theories of trait judgement assume that the individual has a database of experiences from which trait judgements can be made. …

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)0.002
metaresearch head score (Gemma)0.012
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.342
Teacher spread0.319 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Counselling and PsychotherapySame topicAcademic and Historical Perspectives in PsychologyFrench-language works237,207