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Primacy of Commodified Knowledges

2010· book-chapter· en· W2484255063 on OpenAlexaff
Karim A. Remtulla

Bibliographic record

VenueIGI Global eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCommodificationKnowledge workerKnowledge managementSociologyKnowledge economyReification (Marxism)Public relationsPolitical scienceEngineeringEconomics

Abstract

fetched live from OpenAlex

This chapter discusses the cultural paradigm of ‘commodified knowledges’ in the workplace. This cultural paradigm is the second of two paradigms discussed in this book that shape socio-culturally insensitive, technological artefactual approaches to workplace e-learning research and study. Subsequently, this paradigm also socially reshapes workplace e-leaning historicity for workplace adult education and training, resulting in socio-cultural impacts on the workforce. ‘The knowledge-based economy’ as a concept of the global age comes from the various schools of thought. Each of the theories forwarded by these schools of thought continues to influence knowledge-based economic policy today, whether in regards to information-based societies; knowledge products; knowledge workers; or, technological innovations. These are the global policies that afford commodified knowledges their priority in the (knowledge-based) workplace. Organizations specifically concerned with knowledge governance, now invest in practices better known as ‘knowledge management’. Organizational apparatuses such as strategic priorities, value chains, and business processes, all become appropriated towards the materialization and reification of knowledge as an economic commodity for the benefit of the workplace. ‘Business process reengineering’ continues to have impact on the workplace as both a mandate and method for knowledge management towards the commodification of knowledge in the workplace. Workplace e-learning for workplace adult education and training now becomes another means for commodified knowledges through continuously reengineered knowledge management apparatuses. For workplace e-learning, adherence to the belief in the primacy of commodified knowledges leads to two workplace e-learning scenarios: (a) dehumanizing ideologies (see Chapter 9); and, (b) social integration (see Chapter 10).

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.273
Teacher spread0.250 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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