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Record W1581027656

Perceptions of Usefulness: Using the Holland Code Theory, Multiple Intelligences Theory, and Role Model Identification to Determine a Career Niche in the Fashion Industry for First-Quarter Fashion Students.

2010· book-chapter· en· W1581027656 on OpenAlexaboutno aff
Crystal D. Green

Bibliographic record

VenueOhioLink ETD Center (Ohio Library and Information Network) · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsnot available
Fundersnot available
KeywordsFashion industryIdentification (biology)Quarter (Canadian coin)PerceptionPsychologyMathematics educationMarketingBusinessPolitical scienceClothingHistoryLaw
DOInot available

Abstract

fetched live from OpenAlex

This action research study investigated the perceptions that student participants had on the development of a career exploration model and a career exploration project.The Holland code theory was the primary assessment used for this research study, in addition to the Multiple Intelligences theory and the identification of a role model for the purpose of identifying a career niche in the fashion industry.Twelve student participants took part in this research study as they researched and collaborated in groups and individually to understand the various careers in the fashion industry and how some of those careers can provide a congruent working environment based on their Holland codes and their personality, skills, and interests.The student participants were first quarter-fashion students at The Art Institute of Charlotte in North Carolina and they presented their findings in class, for both the career exploration project the career exploration model which included an optional individual consultation.The presentation for the career exploration model was titled a Dream Job and student participants also had an opportunity to select their favorite book or magazine and favorite television program as a means of connecting or confirming their career niche.A semantic differential survey was used to assist in determining participants' perception of usefulness for this career exploration model.Overall student participants found the career exploration model useful, all student participants (100%) were able to select careers which reflected their Holland code, all student participants (100%) were able to make a connection with their MI strength(s), all student participants (100%) selected dream jobs which reflected their personalities, skills, and interests, 75% of the student participants were able to make a connection with their role model, finally there was a measurable awareness of various positions in the fashion industry after the career exploration project and based on the post-career test results, student participants identified an average of 14.4 more fashion careers indicating a 332% increase.iv ACKNOWLEDGMENTS First, I give thanks to God.There were a few occasions when I did not think I would complete this research project, but through Him ALL things are possible.Next, my deepest and sincerest gratitude goes to all who supported me through this long journey.To my

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.290
Teacher spread0.254 · 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 teacher head, 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

Citations2
Published2010
Admission routes1
Has abstractyes

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