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Record W3041155355 · doi:10.1108/tlo-01-2020-0003

Organizational forgetting Part II: a review of the literature and future research directions

2020· review· en· W3041155355 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

VenueThe Learning Organization · 2020
Typereview
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsWestern University
Fundersnot available
KeywordsForgettingSophisticationOriginalityContext (archaeology)Knowledge managementTemporalitySystematic reviewSociologyManagement scienceEngineering ethicsComputer sciencePolitical sciencePsychologySocial scienceEpistemologyQualitative researchEngineering

Abstract

fetched live from OpenAlex

Purpose The purpose of this two-part paper is to provide a summary of current research opportunities in organizational forgetting literature and a future research agenda. Design/methodology/approach The summary of current research opportunities and future research agenda is drawn from the systematic literature review and synthesis reported in Part I. Findings Two broad areas for future research are proposed: A first area that highlights a need to address integrative theoretical challenges that include issues of temporality, history, power dynamics, and organizational context. A second area that highlights a need to reconcile contradicting explanations – such as whether technological sophistication and codification practices versus social networks prevent knowledge depreciation and loss – through a multilevel perspective. Research limitations/implications Limitations relate to time span coverage and journal article accessibility. Originality/value This Part II paper provides a summary of current research opportunities and offers directions for future research on organizational forgetting.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.006
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.059
GPT teacher head0.376
Teacher spread0.318 · 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