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Intergenerational Conflict

2007· other· en· W4243618186 on OpenAlexaboutno aff
Merril Silverstein

Bibliographic record

VenueThe Blackwell Encyclopedia of Sociology · 2007
Typeother
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsEntitlement (fair division)Equity (law)Intergenerational equityPopulationPovertyQuarter (Canadian coin)SociologyContext (archaeology)Demographic economicsPolitical scienceEconomic growthEconomicsGeographyDemographyLaw

Abstract

fetched live from OpenAlex

Intergenerational conflict refers to the collective tension, strain, and antagonism between older and younger generations over what constitutes the fair distribution of public resources across age groups. Intergenerational conflict is most often invoked in the context of the generational equity debate, an ongoing public dialogue about the cost and fairness of entitlement programs for the older population. One of the opening salvos in the debate over generational equity was the observation that the well‐being of older and younger Americans diverged over the third quarter of the twentieth century as a result of public policies that favored older adults and lifted them out of poverty (Preston 1984). The popular press concluded from this that older adults had gained at the expense of younger adults, and it was not uncommon in the 1980s and 1990s for the elderly to be portrayed as a leisure class of affluent retirees unfairly benefiting from the taxes paid by a struggling working‐age population.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.004
Scholarly communication0.0050.004
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.003

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 head0.016
GPT teacher head0.303
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 source (direct Gemma or distilled Codex), 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

Citations4
Published2007
Admission routes1
Has abstractyes

Explore more

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