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Record W2060226851 · doi:10.1108/09565691211222072

Understanding functions: an organizational culture perspective

2012· article· en· W2060226851 on OpenAlexaff
Fiorella Foscarini

Bibliographic record

VenueRecords Management Journal · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFunction (biology)DisconnectionKnowledge managementMeaning (existential)OriginalityEmpirical researchPerspective (graphical)Records managementCentralityComputer scienceData scienceManagement scienceSociologyPsychologyEpistemologyQualitative researchEngineeringPolitical scienceSocial scienceArtificial intelligenceLaw

Abstract

fetched live from OpenAlex

Purpose This paper aims to discuss the disconnection between the recognized centrality of the functional approach to records management and archives and the actual understanding of functions that scholars, practitioners, and records creators seem to have. It suggests that records professionals should consider functions not in the abstract but in the specific socio‐cultural contexts in which they are enacted. Design/methodology/approach After analyzing the main theoretical and methodological issues concerning the concept of function and the application of the functional approach, the paper reports some findings of an empirical study of function‐based records classification systems conducted by the author in four different organizations in Europe and North America. Findings The multiple‐case study research confirmed that the meaning of both function and classification are subject to various interpretations, that a number of non‐functional factors are involved in the creation of function‐based tools, and that records professionals find available explanations of functional methods confusing. The findings also indicate that there is a relationship between organizational cultures and the ways in which business and records processes are perceived and translated into practice. Research limitations/implications This study provides a number of suggestions that may be used to improve the analysis of functions and business processes for any records management purposes. In particular, it discusses some of the non‐functional and cultural factors that influence the design and implementation of function‐based records classification systems. However, more empirical research is needed in order to broaden our understanding of functions in real‐world organizations. Originality/value Based on a broad selection of professional literature on the functional approach, this paper presents the original findings of an empirical study that uses qualitative methods to analyze and interpret the data collected. It is hoped that it will inspire more exploratory research of this kind in the records management area.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0060.039
Scholarly communication0.0170.022
Open science0.0030.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.082
GPT teacher head0.241
Teacher spread0.159 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations21
Published2012
Admission routes1
Has abstractyes

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