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Record W4388768229 · doi:10.1111/1748-8583.12538

The elusiveness of strategic HR partnering: Using paradox theory to understand tensions surrounding the HR business partnering role

2023· article· en· W4388768229 on OpenAlexaff
Hadyn Bennett, Martin McCracken, Paula O’Kane, Travor C. Brown

Bibliographic record

VenueHuman Resource Management Journal · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBusinessFunction (biology)Mechanism (biology)Resource (disambiguation)Human resource managementStrategic planningMarketingResource dependence theoryFrame (networking)Industrial organizationManagementEconomicsEngineering

Abstract

fetched live from OpenAlex

Abstract Human resource business partnering is an established mechanism for the advancement of strategic HR. While much research has reported on relationships between partners (HRBPs) and line managers, relationships between partners and other aspects of the HR function are less well understood, as is the interplay between HRBP‐LMP and HRBP‐HR relationships. Through the use of paradox theory and case study methodology centred on a large public sector health care authority, we found these two sets of relationships to be operating paradoxically within an operational frame of reference, thereby constraining the establishment of strategic partnering.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0040.027
Scholarly communication0.0130.021
Open science0.0020.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.112
GPT teacher head0.301
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations10
Published2023
Admission routes1
Has abstractyes

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