MétaCan
Menu
Back to cohort

Developing Development: Beliefs and Behaviors Driving the Provision of Feedback, Advice, & Coaching

2024· article· en· W4400440646 on OpenAlexaffabout
Hayley Blunden, Ting Zhang, Avraham N. Kluger, Paul Isaac Green, Constantinos V. Coutifaris, Min Ju Lee, Yena Kim, Thomas Talhelm, Raye Zhu, T. Bradford Bitterly, Emma Levine, ZhengPeng Wang, Nicole Abi-Esber, Xiawei Dong, Shaocong Ma, Martha Jeong, Bushra Sarah Guenoun

Bibliographic record

VenueAcademy of Management Proceedings · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of TorontoKellogg's (Canada)
Fundersnot available
KeywordsCoachingAdvice (programming)PsychologyApplied psychologyComputer sciencePsychotherapist

Abstract

fetched live from OpenAlex

In this symposium, we consider the beliefs and behaviors that impact how leaders provide development, ultimately aiming to help leaders create more developmental organizations. In particular, we advance research on developing development by examining how these core beliefs and behaviors underlie the following questions:1) What are the different forms of developmental activities that enable individuals to learn and grow? 2) Who can provide sources of development?, and 3) How is development provided? ). The symposium program brings together research on feedback, advice, and coaching, and considers activities ranging from informal interactions (e.g., seeking feedback or advice) to formalized processes (e.g., annual feedback processes and structured coaching conversations). By bringing together these papers, we enable our field to think more holistically about the wide range of ways people receive development in organizational life with an eye towards improving its outcomes. The Dark Side of Transmitting the Culture in Feedback Author: Paul Isaac Green; U. of Texas at Austin Author: Min Ju Lee; UT Austin Author: Constantinos V. Coutifaris; McCombs School of Business, U. of Texas at Austin Feedback Intuitions Across the East and West Author: Yena Kim; U. of Chicago Booth School of business Author: Raye Zhu; Kellogg School of Management, Northwestern U. Author: Emma Levine; U. Of Chicago Author: Thomas Talhelm; U. of Chicago Booth School of business Author: Thomas Bradford Bitterly; HKUST Business School People Use More Second-Person and Fewer Impersonal Pronouns in Positive vs. Critical Feedback Author: ZhengPeng(Matt) Wang; U. of Toronto Author: Nicole Abi-Esber; Harvard Business School Author: Hayley Blunden; American U., Kogod School of Business Reverse the Curse of Failure: Learning Cues Increase Willingness to Seek (and Share) Failures Author: Xiawei Dong; Hong Kong U. of Science and Technology Author: Martha Jeong; Hong Kong U. of Science and Technology Author: Shaocong Ma; - The Role of Managers’ Developmental Beliefs in Coaching Author: Bushra Sarah Guenoun; Harvard Business School Author: Ting Zhang; Harvard Business School

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.323
Teacher spread0.293 · 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.

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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueAcademy of Management ProceedingsSame topicYouth Development and Social SupportFrench-language works237,207