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Record W2620690886 · doi:10.5539/jsd.v10n3p204

An Empirical Study on the Employability Structure of Pharmacy Graduates

2017· article· en· W2620690886 on OpenAlexvenueno aff
Huang Yan, Fang Qin, Kunling Weng, Boyang Yu

Bibliographic record

VenueJournal of Sustainable Development · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsnot available
Fundersnot available
KeywordsEmployabilityPharmacyConfirmatory factor analysisSpecialtyExploratory factor analysisPsychologyMedical educationQuality (philosophy)Pharmaceutical industryCompetence (human resources)ChinaBusinessMarketingMedicineNursingPolitical scienceSocial psychologyPedagogyPharmacologyService (business)

Abstract

fetched live from OpenAlex

In this paper, through the interviews and questionnaires of the experts of medical colleges and universities in China, the executives of pharmaceutical enterprises and the graduates of pharmaceutical specialty, we use statistical analysis techniques such as exploratory factor analysis and confirmatory factor analysis to present and verify the pharmaceutical structural model of the employment ability of undergraduates. The results show that the structure of employment ability of the undergraduates of pharmaceutical specialty in China can be divided into four dimensions: Development ability, Social ability, Professional ability and Personal quality, and there is some correlation between these four dimensions. Among them, the innovation ability has the greatest impact on the development of pharmaceutical undergraduates. The organization and coordination ability has the greatest impact on social capacity of pharmaceutical undergraduates. The operational ability has the greatest impact on professional competence of pharmaceutical undergraduates; and the professional ethics has the greatest impact on personal quality of pharmaceutical undergraduates.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.067
GPT teacher head0.421
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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