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A Dynamic Analysis of Segmented Labor Market

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Patrice Gaubert (MATISSE), Marie Cottrell (MATISSE, SAMOS)

Statistics Theory · Submitted 1 Mar 2007

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim A Markov chain, constructed with the trajectories between the different situations of these workers, shows a very stable structure of this segmented labor market.

how it is stated · asserted 1.00 read the record →

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arXiv IDmath/0703011 (version 1)
Pith IDI7VIDGA7, Pith's permanent record of this paper and its review
CitationMarie Cottrell (MATISSE, Patrice Gaubert (MATISSE), Samos). "A Dynamic Analysis of Segmented Labor Market." arXiv:math/0703011 (2007). https://pith.science/paper/I7VIDGA7
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,877 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.05 · human participants 0.78 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.30 · compares with prior results 0.05 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Using the Panel Study of Income Dynamics data on the period 1982-1992, this paper investigates some mechanisms of the labor market in the United States. This market is analyzed as a stable structure constituted of segments which present contrasted characteristics under the usual distinction between primary and secondary sectors. Using a neural network algorithm applied on quantitative variables measured at the level of heads of household, a broad classification in four classes of situations is constructed. It shows a clear hierarchy going from situations of very precarious work or no work at all, to situations of stable jobs with higher wages than the average. A Markov chain, constructed with the trajectories between the different situations of these workers, shows a very stable structure of this segmented labor market. Keywords: segmented labor market, unemployment, trajectories, Kohonen algorithm, Markov chain.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Using the Panel Study of Income Dynamics data on the period 1982-1992, this paper investigates some mechanisms of the labor market in the United States. contribution 0.56 0.87 0.03 asserted 0.67
s1 This market is analyzed as a stable structure constituted of segments which present contrasted characteristics under the usual distinction between primary and secondary sectors. background 0.72 0.25 0.09 asserted 1.00
s2 Using a neural network algorithm applied on quantitative variables measured at the level of heads of household, a broad classification in four classes of situations is constructed. method 0.99 0.95 0.04 asserted 0.98
s3 It shows a clear hierarchy going from situations of very precarious work or no work at all, to situations of stable jobs with higher wages than the average. result 0.98 0.90 0.37 asserted 1.00
s4 A Markov chain, constructed with the trajectories between the different situations of these workers, shows a very stable structure of this segmented labor market. result 0.97 0.94 0.62 asserted 1.00
s5 Keywords: segmented labor market, unemployment, trajectories, Kohonen algorithm, Markov chain. method 0.36 0.10 0.02 unclear 0.99

What kind of paper the classifier reports this is: empirical study 1.00 · evidence from analysis of existing data 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Using the Panel Study of Income Dynamics data on the period 1982-1992, this paper investigates some mechanisms of the labor market in the United States. This market is analyzed as a stable structure constituted of segments which present contrasted characteristics under the usual distinction between primary and secondary sectors. Using a neural network algorithm applied on quantitative variables measured at the level of heads of household, a broad classification in four classes of situations is constructed. It shows a clear hierarchy going from situations of very precarious work or no work at all, to situations of stable jobs with higher wages than the average. A Markov chain, constructed with the trajectories between the different situations of these workers, shows a very stable structure of this segmented labor market. Keywords: segmented labor market, unemployment, trajectories, Kohonen algorithm, Markov chain.

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