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Record W2092421308 · doi:10.1108/13620430210426123

Career management in information technology: a case study

2002· article· en· W2092421308 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

VenueCareer Development International · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Downsizing and Restructuring
Canadian institutionsConcordia University
Fundersnot available
KeywordsCareer managementCareer developmentAuditManagement developmentCareer planningPsychologyHuman resource managementKnowledge managementCareer portfolioBusinessPublic relationsManagementComputer sciencePolitical scienceAccountingSocial psychologyPedagogy

Abstract

fetched live from OpenAlex

Examines career management, development and performance as proposed in the career management research by Noe, which was defined for studying individual career management. Reviews the organizational career management program and the outcomes of organizational development and performance. Applies the Noe model to measure outcomes and determine if there is a direct relationship between career management programs, performance and development. The study involved three different organizations in the IT sector and HRPs as the respondents. A questionnaire was developed using Burack’s career management audit, and selected measures from various sources for development and performance. The results do not prove that the relationships exist. However, recommendations for future study involve performance as a precursor to career management and development. Recommendations for organizations include a review of career paths, development moves, retirement planning, and a research oriented human resources database.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.022
GPT teacher head0.208
Teacher spread0.186 · 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