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Record W4390082504 · doi:10.1093/geroni/igad104.1791

ILLUSTRATIONS OF EXTENDED WORKING LIVES: WHAT INSIGHTS DO THE CONCEPTS OF EXCLUSION AND PRECARITY OFFER?

2023· article· en· W4390082504 on OpenAlexaff
Amanda Grenier

Bibliographic record

VenueInnovation in Aging · 2023
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrecaritySocial exclusionSituatedBridging (networking)SociologySet (abstract data type)Bridge (graph theory)EpistemologyPolitical scienceGender studiesComputer science

Abstract

fetched live from OpenAlex

Abstract Amanda Grenier will act as the discussant for the set of papers in this symposia session, bridging insights from European research with North American perspectives. Situated as an attempt to bridge research findings with a larger critical practice of theory-building theory, she will explore what the concepts of exclusion and precarity offer our interpretations of these papers, as well as how the findings of each contribute to the state of knowledge on exclusion and precarity. She will begin with a brief clarification of the definitions and conceptual boundaries of social exclusion and precarity carried out in Europe and North America and situate key findings of the papers as an effort to theorize older workers lives in contemporary conditions. For example, the well-known concept and domains of social exclusion can be considered to offer ways of understanding processes of exclusion at the mezzo level, as exercised through policies, practices, and/or place. Illustrations from the papers will be linked with existing work on exclusion. She will then draw attention to the concept of precarity as a lens of analysis to connect the micro-level vulnerabilities experienced in the working lives of older people with the shifting social and state structures that form the backdrop for older people’s lives (and the systems within which European research is carried out). Specific examples will be drawn from the set of papers, and a moderated question and answer period will follow.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0080.021
Scholarly communication0.0200.016
Open science0.0020.009
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0100.001

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 head0.107
GPT teacher head0.425
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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