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Record W3212824118 · doi:10.1111/1748-8583.12418

A temporal perspective on refugee employment – Advancing HRM theory and practice

2021· article· en· W3212824118 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Resource Management Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsAmorfix (Canada)University of TorontoCarleton University
Fundersnot available
KeywordsRefugeeWorkforceHuman resource managementPerspective (graphical)TemporalityPolitical scienceHuman resourcesSociologyOrder (exchange)Public relationsKnowledge managementBusinessComputer scienceEpistemology

Abstract

fetched live from OpenAlex

Abstract As the number of refugees worldwide continues to increase, Human Resource Management (HRM) scholars and practitioners have an opportunity to rethink their role in advancing workforce integration for this highly vulnerable group of jobseekers. In this introduction to a special issue on refugee workforce integration, we argue that in order to promote comprehensive and sustainable solutions, scholars and practitioners alike need to understand refugee employment as a long‐term undertaking. We propose a four‐phase temporal model of refugee workforce integration, highlighting the potential role of HRM at the various stages of the integration process. We identify practical recommendations for HRM professionals to consider and several areas for future research in support of evidence‐based solutions. While our paper focuses specifically on refugee employment, we argue that temporality should be considered by all HRM scholars working within the domain of global mobility.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.019
GPT teacher head0.349
Teacher spread0.330 · 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