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Record W7111500466

Workplace-bullying toward HR-practitioners : A quantitative survey based study

2024· article· sv· W7111500466 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJonkoping University Library (Jönköping University) · 2024
Typearticle
Languagesv
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Syftet med studien var att undersöka förekomsten av arbetsplatsmobbning mot HR-anställda, samt om det fanns några könsrelaterade skillnader gällande tendensen att fallaoffer för arbetsplatsmobbning. Sammanlagt kontaktades 300 organisationer genom ettsystematiskt urval och 58 enkätsvar samlades in. En svensk översättning av verktygetNAQ-R (Rosander & Blomberg, 2018) användes för att identifiera respondenter utsatta förarbetsplatsmobbning. Av de 58 svar som samlades in hade två (3%) respondenter blivitutsatta för arbetsplatsmobbning. Detta var en lägre siffra än vad som tidigare forskningrapporterat inom den svenska arbetsmarknaden. Analys genom användning av MannWhitney U-test visade att det inte fanns några signifikanta könsrelaterade skillnader. Vårslutsats är därför att det inom HR-yrket är ovanligare att falla offer för arbetsplatsmobbningän i det svenska arbetslivet i stort, och att det inte finns några könsrelaterade skillnadergällande tendensen att falla offer för arbetsplatsmobbning inom HR-yrket.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.009
Science and technology studies0.0030.001
Scholarly communication0.0010.008
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.056
GPT teacher head0.281
Teacher spread0.225 · 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