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Record W2915067659

The Relationship Between Witnessed and Instigated Incivility – an Exploration of Mediating and Moderating Factors

2018· article· en· W2915067659 on OpenAlexfundno aff
Kristoffer Holm, Eva Torkelson, Martin Bäckström

Bibliographic record

VenueLund University Publications (Lund University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
FundersKing's College LondonNational Institute for Health and Care ResearchFundação para a Ciência e a TecnologiaU.S. Department of DefenseTrent UniversityLondon School of Economics and Political ScienceMenzies Centre for Australian Studies, King's College London, University of LondonNottingham Trent UniversityNational Institute for Occupational Safety and HealthPortland State University
KeywordsIncivilityPsychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

The Academy's first conference took place in 1999 to provide a new platform to promote the development of research, education and practice in the then emerging field of occupational health psychology.That inaugural event was held in Lund, Sweden.In the intervening years, conferences have been held successfully in Nottingham, UK ( 2000), Barcelona, Spain (2001), Vienna, Austria (2002), Berlin, Germany (2003), Porto, Portugal (2004), Dublin, Ireland (2006), Valencia, Spain (2008), Rome, Italy (2010), Zürich, Switzerland (2012), London, UK (2014), and most recently Athens, Greece (2016).We are delighted to have been able to organise this 13 th Academy conference in Lisbon and this has in no small part been possible due to the financial and practical support provided by ISCTE -Instituto Universitário de Lisboa and our national and international sponsors.The theme for this year's conference is 'Adapting to rapid changes in today's workplace'.In a world that is in constant flux, our workplaces are evolving and changing at an unprecedented scale.This requires adaptation to new demands and types of working conditions, underpinned by new forms of work organisation, an increasingly diverse workforce, technological advancements, digitalisation and automation.In this changing context, occupational health psychology has a critical role to play.The conference will address what occupational health researchers and practitioners can do to support adaptation processes in this new context while preventing new and emerging psychosocial risks and promoting a healthy work environment.To this end, the conference has a powerful and engaging schedule of keynote, oral and poster presentations, as well as special sessions.Αt each conference, the Academy awards a lifetime fellowship to individuals, who in the opinion of the Executive Committee, have made an exceptional contribution to the discipline of occupational health psychology.This year we are proud to welcome Prof.

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)0.004
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.036
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.303
Teacher spread0.191 · 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 designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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