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https://doi.org/10.2139/ssrn.4646348
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cam4.6432openalex-extracted
Tools to assess employment readiness for colorectal cancer survivors: A scoping review
inferredcites →https://doi.org/10.1038/s42256-019-0138-9openalex-extracted
From local explanations to global understanding with explainable AI for trees
inferredcites →https://doi.org/10.1080/0042098042000316100openalex-extracted
The Concept of Employability
inferredcites →https://doi.org/10.1080/09638288.2021.1902578openalex-extracted
Acceptability of employment readiness measures in youth and young adults on the autism spectrum: a mixed-methods study
inferredcites →https://doi.org/10.1080/13639080.2023.2184466openalex-extracted
Relational approaches to employability
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-extracted
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1371/journal.pone.0118432openalex-extracted
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
inferredcites →https://doi.org/10.18291/njwls.v7i3.97089openalex-extracted
Measuring Employability for Disadvantaged Unemployed People? Evidence from Survey and Register Data
inferredcites →https://doi.org/10.18637/jss.v077.i01openalex-extracted
ranger : A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-extracted
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
inferredcites →https://doi.org/10.48550/arxiv.1705.07874openalex-extracted
A Unified Approach to Interpreting Model Predictions
inferredcites →https://doi.org/10.51815/fjsr.110741openalex-extracted
Mauno Koivisto Lecture: 2014 The Nordic welfare model and welfare services – Can we maintain acceptable standards?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1787/24d6da00-enopenalex-snapshot
ALMP participation has reduced over time in absolute and relative terms
inferred← citeshttps://doi.org/10.1787/32acf5af-enopenalex-snapshot
Differentiation in the profiling tool between low and medium employability could be improved for ALMPs which cater to general, geographic and skills needs
inferred← citeshttps://doi.org/10.1787/362d4c72-enopenalex-snapshot
Individuals most commonly participate in ALMPs serving general needs
inferred← citeshttps://doi.org/10.1787/3837e672-enopenalex-snapshot
ALMPs addressing specific needs have differing success in attracting participants with these needs
inferred← citeshttps://doi.org/10.1787/39de4d59-enopenalex-snapshot
Individuals with skills needs have these needs addressed most commonly
inferred← citeshttps://doi.org/10.1787/3c1475f1-enopenalex-snapshot
Recent trends in the Latvian labour market
inferred← citeshttps://doi.org/10.1787/4707a9bd-enopenalex-snapshot
A wide range of ALMPs are offered to jobseekers
inferred← citeshttps://doi.org/10.1787/4c6ba04c-enopenalex-snapshot
Individuals without profiling information leave registered unemployment much faster
inferred← citeshttps://doi.org/10.1787/5fddad0c-enopenalex-snapshot
Digital tools at the State Employment Agency
inferred← citeshttps://doi.org/10.1787/7c47441c-enopenalex-snapshot
Detailed recommendations for modernising the State Employment Agency
inferred← citeshttps://doi.org/10.1787/7c569ce8-enopenalex-snapshot
Around one‑third of registered unemployed people had weak labour market attachment prior to becoming unemployed
inferred← citeshttps://doi.org/10.1787/a654d341-enopenalex-snapshot
ALMPs targeting risk employability groups are not always more likely to have those individuals participating in them
inferred← citeshttps://doi.org/10.1787/dd3a8964-enopenalex-snapshot
The role of ALMPs in reaching people in need of support and addressing their needs
inferred← citeshttps://doi.org/10.1787/e177ad75-enopenalex-snapshot
Latvia spends little on active labour market policies despite an unemployment rate above the OECD average
inferred← citeshttps://doi.org/10.1787/e2890aa1-enopenalex-snapshot
Latvia is projected to have the fastest shrinking population in the OECD
inferred← citeshttps://doi.org/10.1787/f4c4f3a8-enopenalex-snapshot
Latvia’s labour market has seen great improvements
inferred← citeshttps://doi.org/10.1787/f8f2bb03-enopenalex-snapshot
Data on profiling are missing for many jobseekers registered with the SEA
inferred← citeshttps://doi.org/10.31265/jcsw.v19i2.667openalex-snapshot
‘I hope the doctor will send something black-or-white’.
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