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Record W7133011683

Clinical Faculty's Activities and Outputs: An Intellectual Capital Concept Map

2009· dissertation· en· W7133011683 on OpenAlexafffundabout
Belinda Lee Wilkinson

Bibliographic record

VenueTSpace · 2009
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsUniversity of Toronto
FundersDepartment of Medicine, University of TorontoUniversity of Toronto
KeywordsConceptualizationIntellectual capitalConcept mapConceptual frameworkPerceptionComponent (thermodynamics)Conceptual model
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the composition of intellectual capital (IC) by addressing the research question: What are the knowledge-based activities and outputs which comprise the IC of a university medical department? A conceptual framework was developed to highlight the importance of activities. The conceptualization of IC was further developed using concept mapping. Education administrators’ perceptions were solicited to derive IC used in a research faculty of a Canadian university. The results indicate that IC can be understood in terms of activities and outputs. Clinical faculty can be expected to engage in research and its supervision, education, obtaining qualifications, clinical and professional practice, and service. Within these categories, individual activities and outputs were not considered to be of equal importance or impact. Among seventy activities and outputs, articles in internationally refereed journals was ranked as most important, whereas teaching awards was ranked as having the most impact.

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)0.000
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.366
Teacher spread0.315 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2009
Admission routes3
Has abstractyes

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