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Record W2921197507

Students' enrollment in engineering: Motivational factors

2010· article· en· W2921197507 on OpenAlexaboutno aff
Hoda Baytiyeh, Mohamad K. Naja

Bibliographic record

VenueScopus · 2010
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)FlourishingCreativityManagementSociologyPsychologySocial psychologyEconomicsBiology
DOInot available

Abstract

fetched live from OpenAlex

AHUJA M, 2006, IT WORKERS HUMAN CAP, P279; AKILI W, 2005, ASEE IEEE FRONT ED C, P7; Amabile T. M., 1996, CREATIVITY CONTEXT; Blustein D., 1994, CONVERGENCE CAREER D, P139; BUNDY P, 1992, J APPL BUSINESS RES; CHEHADE SM, 2001, ED ENG 21 CENTURY, P81; Chung YB, 1996, J CAREER DEV, V23, P127, DOI 10.1007-BF02359292; Crampton W. J., 2006, INFORM SYST, V7, P226; *DEST, 2008, VIEWS ENG STUD REP S; FIELD A., 2005, DISCOVERING STAT USI; *GCC, FAC STUD STAT GCC EN; Ho R., 2006, HDB UNIVARIATE MULTI; Jain R, 2009, INT J ENG EDUC, V25, P405; KAISER HF, 1970, PSYCHOMETRIKA, V35, P401, DOI 10.1007-BF02291817; KELMAN HC, 1961, PUBLIC OPIN QUART, V25, P57, DOI 10.1086-266996; Kim D, 2002, J ED BUSINESS, P28; KREJCIE RV, 1970, EDUC PSYCHOL MEAS, V30, P607; Kristof AL, 1996, PERS PSYCHOL, V49, P1, DOI 10.1111-j.1744-6570.1996.tb01790.x; Lindenberg S, 2001, KYKLOS, V54, P317; Maslow Abraham, 1987, MOTIVATION PERSONALI; MERTENS R, 2009, CHRISTIAN SCI M 0424; MYBURGH J.E., 2005, MEDITARI ACCOUNTANCY, V13, P35; Nakamura J., 2003, FLOURISHING POSITIVE; Nguyen DQ, 2000, INT J ENG EDUC, V16, P286; NOLAND T, 2003, P 18 ANN C INT AC IN, V18, P150; Otto L. B., 1985, J CAREER DEV, V12, P65; PAOLILLO JGP, 1982, ACCOUNT REV, V57, P785; Prieto Elena, 2009, European Journal of Engineering Education, V34, DOI 10.1080-03043790902835940; REHA RK, 1985, BUSINESS ED FORU FEB, P24; ROBINSON MC, 2005, CANADIAN IT LABOUR M; Roese NJ, 2005, PERS SOC PSYCHOL B, V31, P1273, DOI 10.1177-0146167205274693; Rummel R. J., 1970, APPL FACTOR ANAL; Ryan RM, 2000, CONTEMP EDUC PSYCHOL, V25, P54, DOI 10.1006-ceps.1999.1020; Sohn SY, 2010, INT J ENG EDUC, V26, P205; Tabachnick B. G., 2007, USING MULTIVARIATE S; Vygotsky L. S., 1978, MIND SOC DEV HIGHER; Walstrom K. A., 2008, J INFORM SYSTEMS ED, V19, P43; WHEELER KG, 1983, J VOCAT BEHAV, V22, P1, DOI 10.1016-0001-8791(83)90002-7; Zhang LF, 2007, THINK SKILLS CREAT, V2, P118, DOI 10.1016-j.tsc.2007.09.001; Zimmerman JB, 2007, INT J ENG EDUC, V23, P242

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)0.008
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 score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.004
GPT teacher head0.219
Teacher spread0.215 · 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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Citations14
Published2010
Admission routes1
Has abstractyes

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