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Record W2888744958 · doi:10.4018/ijitpm.2018100101

Critical IT Project Management Competencies

2018· article· en· W2888744958 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Information Technology Project Management · 2018
Typearticle
Languageen
FieldComputer Science
TopicInformation Systems Education and Curriculum Development
Canadian institutionsMount Royal University
Fundersnot available
KeywordsSoft skillsCurriculumExtant taxonSkills managementSample (material)PsychologyAcademic skillsKnowledge managementProject managementMedical educationEngineering ethicsPedagogyMathematics educationEngineeringComputer scienceMedicineSocial psychology

Abstract

fetched live from OpenAlex

Academic computing curricula generally focus on teaching the specific technological skills expected of new graduates in their disciplines. Yet when it comes to hiring these graduates, behavioral skills (also called soft skills) such as communication and personal integrity are almost always rated as being more important than the technological skills. This mixed-method research project adds to the understanding of skill expectations required for new hires by providing information from a global sample of project management professionals. Both the quantitative and qualitative results are in accord with the vast majority of the extant literature in that behavioral skills were seen as more critical than technical skills. Implications and recommendations for educators, curriculum developers, and prospective graduates are discussed.

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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.860
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.014
GPT teacher head0.306
Teacher spread0.293 · 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