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Record W7082281904 · doi:10.1111/1468-5973.70077

How Leaders Lift Us Up and Bring Us Down: Relationship Quality With a Leader, Team Dynamics, and Outcomes During a Crisis

2025· article· en· W7082281904 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Contingencies and Crisis Management · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsQuality (philosophy)Team compositionTeam effectivenessTeam leaderPsychological safetyHealth carePositive relationship

Abstract

fetched live from OpenAlex

ABSTRACT We investigate the nature of team members' relationship with their leader, team dynamics, and outcomes during a continuous organisational crisis in a healthcare setting. Leaders ( n = 24) and team members ( n = 150) completed matched surveys at three hospitals. Individuals who felt they had a stronger relationship with their leader than their teammates (i.e., higher on leader membership exchange (LMX) than their team average), performed better, were less likely to want to leave their job, and were more confident in their team's ability to succeed (i.e., higher team potency). Teams higher on LMX reported fewer turnover intentions, and were more creative. Both individuals' and team's core self‐evaluations (CSE) were linked to positive outcomes, including higher team potency amongst teams with higher CSE. For weak leaders (i.e., team‐rated low LMX or perceived expertise), individuals' positive CSE were associated with better performance. Implications and future research directions for crisis management are provided.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.252
Teacher spread0.233 · 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