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Record W2275698109 · doi:10.1007/s12651-016-0197-x

Skills and work organisation in Britain: a quarter century of change

2016· article· en· W2275698109 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal for Labour Market Research · 2016
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsAutonomyQuarter (Canadian coin)Work (physics)Technological changeSkills managementEconomicsAffect (linguistics)Labour economicsBusinessMarketingPsychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract This paper overviews key findings concerning the evolution of job skill requirements in Britain, and their relationship to technology and work organisation, based on surveys dating from 1986. The use of skills has been rising, as indicated by several indicators covering multiple domains. Technological change is robustly implicated in these rises, but it is not possible to satisfactorily classify most tasks according to how easily they are encoded and thereby clearly link the changes to the nuanced theory of skill-biased technical change associated with asymmetric employment polarisation. Moreover, changing work organisation also contributes to explaining the rises, both in skills use and in skills development. Nevertheless, the extent of worker autonomy in the workplace declined notably during the 1990s; this decline is not accounted for by the data, but is thought to be associated with changing management culture. Changing skill requirements also affect pay. In addition to the education level both computing skills and influence skills attract a premium in the labour market. There is an increasing cost in terms of pay from overeducation and a rising prevalence of overeducation. Together, these changes are reflected in an increased dispersion of the graduate pay premium. While these findings have provided important contextual information for the development of skills policies, they have had little effect on engendering policies for stimulating improved job design.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.133
GPT teacher head0.473
Teacher spread0.339 · 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