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Record W330593889

Origins of the modern career

2004· book· en· W330593889 on OpenAlexaboutno aff
David Mitch, John E. Brown, Marco H. D. van Leeuwen

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryIndustrialisationManagementSociologyEconomic historyHistoryPolitical scienceLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

An Introduction to the Study of Careers and their History: The history of the modern career: an introduction, John Brown, Marco van H.D. Leeuwen and David Mitch An economic perspective on career formation, Laura J. Owen The use of event-history-analysis in career research, Ineke Maas. Part I: The Creation of Formal and Informal Structures: Constructing the modern career, 1840-1940, Andrew Miles and Mike Savage Job stability and career opportunities in the work-life history of policemen in Victorian and Edwardian England, Haia Shpayer-Makov Trade unions and employment stability at the Canadian Pacific Railway, 1903-29, Mary MacKinnon Career making at Pullman: employment stability and job mobility for railroad repair shop workers, 1915-1970, Susan Eleanor Hirsch and Janice L. Reiff Skilled work and labour careers in the Argentine printing industry, 1880-1930, Maria Silvia Badoza. Part II: The Influence of Gender: Small business, self employment and women's work-life choices in 19th century London, Alison Kay The careers of female graduates of Cambridge University, 1920s-1970s, Pat Thane. Part III: The Influence of Industrialization and Economic Modernization: Occupational careers of the total male labour force during industrialization: the example of 19th century Sweden, Ineke Maas and Marco H.D. van Leeuwen Working class careers: on-the-job experience and career formation in Munich, 1895-1910, John C. Brown and Gerhard Neumeier Agricultural labour as a career: Norfolk farm workers in the late 19th and early 20th centuries, David Mitch Factory work and arrangiarsi alla canesca. Professional careers of the Saffat's steelworkers from 1900 to '29 crisis, Paolo Raspadori Career patterns in the British chemical profession during the 20th century, Robin Mackie and Gerrylynn K. Roberts Index.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.915
Threshold uncertainty score0.997

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)0.0010.000

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 head0.064
GPT teacher head0.351
Teacher spread0.287 · 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 designNot applicable
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".

Quick stats

Citations18
Published2004
Admission routes1
Has abstractyes

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