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Record W2894195499 · doi:10.1108/hrmid-07-2018-0141

HR’s role in organizational effectiveness

2018· article· en· W2894195499 on OpenAlex
Tim H. Vanderpyl

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

VenueHuman Resource Management International Digest · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsAmbrose University
Fundersnot available
KeywordsViewpointsOriginalityOrganizational effectivenessValue (mathematics)Perspective (graphical)Organizational architectureKnowledge managementBusinessBolsterOrganizational performancePublic relationsManagementSociologyMarketingPolitical scienceEngineeringQualitative researchComputer scienceEconomics

Abstract

fetched live from OpenAlex

Purpose HR leaders need to see their role as one of building and valuing personal networks that bolster their organization’s effectiveness. Design/methodology/approach This paper discusses three primary ways that HR departments can bolster their organization’s effectiveness, namely, harnessing social power, empowering alpha employees, and influencing organizational design. Findings These three focuses will give HR leaders’ opportunities to further contribute to the overall effectiveness of the organization. Originality/value In the conceptual literature, the author’s own viewpoints and other ideas are weaved together to present a unique perspective on HR’s role in creating effective organizations.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.517
Threshold uncertainty score0.999

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)0.0040.002

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 head0.010
GPT teacher head0.244
Teacher spread0.234 · 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