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Record W4399451064 · doi:10.55016/ojs/ajer.v60i4.55846

Work and Learning: An Introduction (2013) by Bruce Spencer & Jennifer Kelly

2015· article· en· W4399451064 on OpenAlexaffvenue
Ashley Pullman

Bibliographic record

VenueAlberta Journal of Educational Research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSociologyPsychology

Abstract

fetched live from OpenAlex

Bruce Spencer and Jennifer Kelly intend their primer on work and learning to be a crossdisciplinary and critically orientated introductory text on adult workplace learning in liberal welfare states, a field that the authors acknowledge as lacking in common consensus concerning the limits and boundaries of study.Rather than introducing workplace learning as part of other fields of study, such as the sociology of work or critical political economy, this book represents the more recent scholarly work of several prominent researchers and theorists within education subdisciplines that have carved out an increasingly distinct genre.Educational scholarship within the field of work and learning often comes from a reactionary perspective, critically attuned to how education has been co-opted under a capitalist mode of relations.As Spencer and Kelly highlight throughout the book, the repercussions of capitalism are particular within the current era of neoliberalism, a subject which cannot be ignored within work and learning.Social and economic influence under neoliberalism is argued to reframe education as ongoing self-investment incumbent upon a worker for success within a knowledge economy.Spencer and Kelly's "critical vocationalism" (p.88) attends to this so-called post-industrial framework to address inequalities inherent within this understanding of learning for work.Their book, while just over 100 pages long, covers significant ground within its eight chapters, examining the multifaceted forms of tension between critical and normative perspectives through topics such as managerialism, employer-and employee-initiated learning, prior learning assessment, and democratic forms of work and learning.Grounding their analysis of these aspects of work and learning is a critical orientation with respect to exactly who benefits when learning dovetails with the "desire to extract more from each employee" (p.52).While focus is placed primarily on adult learning from the 1990s onward, a vast exploration of the history of education in Canada is given in the middle of the book, moving from voluntary and informal education of the 1850s to the Canadian Indian Residential School system, progressivism, and neo-conservatism reform that primarily supported vocationally-relevant curriculum in the 1990s.This vocationalism of education is situated within the current era of neo-conservatism, of which the authors provide an overview of the pervasive ideologies that shape educational reform.These dominant understandings often propagate the necessity of vocationally relevant education above all other intents and interests.As the rest of the book examines, this shift deeply affects how occupational learning is situated and the social relations that emerges from it.Vocationalism is shown to take place at multiple levels of education, bringing relevance to readers who may come from other educational sectors or have modest interest in workplace learning.Organizational spaces come to influence one another, as

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0020.003
Scholarly communication0.0050.006
Open science0.0020.004
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0110.010

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 head0.153
GPT teacher head0.468
Teacher spread0.315 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2015
Admission routes2
Has abstractno

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