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Record W4406949006 · doi:10.1177/10564926241292262

Tackling Grand Challenges: Insights and Contributions From Practice Theories

2025· article· en· W4406949006 on OpenAlex
Anja Danner‐Schröder, Christian A. Mahringer, Kathrin Sele, Paula Jarzabkowski, Linda Rouleau, Martha S. Feldman, Brian T. Pentland, Marleen Huysman, Anastasia Sergeeva, Silvia Gherardi, Kathleen M. Sutcliffe, Joel Gehman

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 Management Inquiry · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsHEC Montréal
FundersNederlandse Organisatie voor Wetenschappelijk OnderzoekHeidelberger Akademie der Wissenschaften
KeywordsGrand ChallengesGrand strategyEpistemologySociologyPositive economicsEngineering ethicsPsychologyPolitical scienceEconomicsPhilosophyLawPolitical economyEngineering

Abstract

fetched live from OpenAlex

This curated debate discusses the value of practice theories in studying, understanding and tackling grand challenges. Practice theories assume that social phenomena are constituted through everyday doings and sayings. Building on this premise, the different contributions in this curated debate go beyond the assumption that grand challenges are abstract phenomena. The authors argue that grand challenges are enacted through mundane, situated actions that are often hidden in plain sight. Building on their research, they suggest that understanding grand challenges requires scholars to approach phenomena as nondualistic. Accordingly, they reveal that situated actions are not self-contained but related across space and time, requiring scholars to adopt a relational perspective. The debate concludes with a call for action as we embrace our dual role as scholars and citizens.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.563

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 communication0.0000.002
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 head0.018
GPT teacher head0.267
Teacher spread0.249 · 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