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Record W4401025003 · doi:10.1108/qrom-12-2023-2640

Does kindness matter? Discourses on kindness during the pandemic

2024· article· en· W4401025003 on OpenAlexaff
Heidi Weigand, Kristin S. Williams, Sophia Okoroafor, Erica Weigand, Giuseppe Liuzzo

Bibliographic record

VenueQualitative Research in Organizations and Management An International Journal · 2024
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsSaint Mary's UniversityAcadia UniversityDalhousie University
Fundersnot available
KeywordsKindnessPandemicSociologySocial psychologyCoronavirus disease 2019 (COVID-19)PsychologyEnvironmental ethicsAestheticsPolitical scienceMedicinePhilosophyLawPathology

Abstract

fetched live from OpenAlex

Purpose Our research takes inspiration from stories of kindness in the context of the COVID-19 global pandemic and investigates what generational entrants, namely those entering the workforce in large numbers, dubbed emerging leaders (ages 19–39) think of the phenomenon of kindness and its potential role in organizations. Guiding the study is the question: “What can emerging leaders tell us about kindness and work?” Design/methodology/approach Adopting discourse analysis fused with kindness as research praxis, we conducted 66 qualitative interviews with young leaders (born between 1981 and 2001) across North America, Europe and Africa. Interviews were conducted in the summer and fall of 2020. Findings Our research sets out to expand theorizing related to kindness as a phenomenon, illustrates implications relevant to management and organizational studies and offers insights into the value of kindness as research praxis. This paper makes three related contributions and one methodological one: (1) it contributes to the literature on kindness and how it can be theorized in management and organizational studies, (2) it explores emerging leaders perceptions of kindness in a pandemic context, (3) it offers insights into how kindness might be leveraged as a model of moral and ethical behaviour valued in organizational environments, and (4) the paper promotes epistemic properties of kindness when fused with research praxis. Originality/value Authored during a rapidly unfolding scholarly conversation on the influences of the pandemic on organizational life, our research draws insights from experiences of kindness during COVID-19. This paper applies discourse analysis fused with kindness as research praxis to an understudied area of human behaviour (kindness) which has implications for management and organizational theory and practice. These implications include: (1) individual kindness capacity or inclination towards kindness behaviour that may be depleted by stressors such as the pandemic, (2) that kindness has socially contagious qualities, (3) and kindness as praxis has material benefits in the context of research methods, benefiting the research team and the research outputs.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.130
GPT teacher head0.557
Teacher spread0.427 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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