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Record W2273775327 · doi:10.21225/d5xg6k

The Organizational Meaning of Research

2004· article· en· W2273775327 on OpenAlexaffvenueabout
Marco Adria, Patricia Boechler

Bibliographic record

VenueCanadian Journal of University Continuing Education · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSensemakingMeaning (existential)Process (computing)PsychologyContext (archaeology)SociologyOrganizational identityAction researchOrganizational learningOrganization developmentAction (physics)Organizational commitmentSocial psychologyKnowledge managementPublic relationsPolitical sciencePedagogyComputer science

Abstract

fetched live from OpenAlex

Practitioners and theorists have given attention recently to the role and status of research activities in Canadian university continuing education units. For individuals in units that are increasing the proportion of their organizational activities devoted to research, there will be an ongoing process of cognitive change and development as a new organizational culture emerges. Sensemaking is used in this article as a heuristic for exploring the process of incorporating and developing research activities in university continuing education units. Sensemaking is the cognitive process of justifying or legitimating a decision or outcome after the decision or outcome is already known. It is associated with organizational models that reject an exclusively rational decision-making paradigm of organizational action. Sensemaking recognizes the centrality of the following elements in the interpretation of research activities and their relationship to organizational life: time, identity construction, and the ongoing creation of context. The authors provide an extended reflection on the process of meaning-making that may be experienced by individuals as conventional research becomes a more important part of organizational life. Such a reflection may support and inform the change process as it occurs in university continuing education units.

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.574
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.031
GPT teacher head0.310
Teacher spread0.280 · 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 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

Citations2
Published2004
Admission routes3
Has abstractyes

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