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Record W4391797487 · doi:10.51952/9781447332169.fm001

Front Matter

2017· paratext· en· W4391797487 on OpenAlexfundno aff
Esther Dermott, Gill Main, Nick Bailey, Jonathan Bradshaw, Glen Bramley, Mary B. Daly, Eldin Fahmy, Pauline Helsop, Paddy Hillyard, Ruth Levitas, Joanna Mack, Christina Pantazis, Demi Patsios, Simon Pemberton, Sarah R. Payne, Mike Tomlinson, Tammy Alexander, Karen Bell, Kirsten Besemer, J. M. Daniels, Glen Darby, Maria Gannon, Saffron Karlsen, Grace Kelly, Gabi Kent, Stewart Lansley, Sasha Laurel, Mark Livingston, Shaileen Nandy, Jennifer Nockles, Kirsty Mclaughlin, Pete Mitton, Beverley Parker, Marco Pomati, Ronan Smyth, Eileen Sutton, Sharon Telfer, David Watkins, Lisa Wilson, Steve Yates, Hong Hicks, Tracy Anderson, Clare Tait, Colin Setchfield, Keven Pickering, A. F. Bernard Shaw, Eleanor Taylor, Liz Clery, Kirby Swales, Kevin Palmer, Jo Goddard, Paul Meller, Bruce Jackson, Mary Hickman, Julie Sullican, Vekaria Rupesh, David J. Evans, Gemma Thomas, Steven Dunstan, Simon Hudson, Jackie Shelton, Samantha Coope, Tim Crosier, Danny Dorling, Rosalind Edwards, Alison Garnham, Nuala Gormley, Mike Harmer, Stephen G. Jenkins, J. Lewis, J. C. Martin, Peter Matejic, Anne Macdonald, David McLennan, Monica Mcwilliams, Jill Morton, Polly Toynbee, Paul Tyrer, Robert The, Aya Abe, Petra Böhnke, Julio Boltvinik, Madior Fall, Bjørn Halleröd, Daniel He- Chiun Liou, Brian Nolan, Bryan Perry, Veli‐Matti Ritakallio, Pedro Sáinz, Peter Saunders, Melissa Wong

Bibliographic record

VenuePolicy Press eBooks · 2017
Typeparatext
Languageen
FieldSocial Sciences
TopicSocial Issues and Policies
Canadian institutionsnot available
FundersEconomic and Social Research CouncilQueen's UniversityUniversity of GlasgowUniversity of BristolQueen's University BelfastHeriot-Watt University
KeywordsFront (military)PhysicsMeteorology

Abstract

fetched live from OpenAlex

The largest UK research study on poverty and social exclusion ever conducted reveals startling levels of deprivation. 18m people are unable to afford adequate housing; 14m can’t afford essential household goods; and nearly half the population have some form of financial insecurity. Defining poverty as those whose lack of resources forces them to live below a publicly agreed minimum standard, this text provides unique and detailed insights into the nature and extent of poverty and social exclusion in the UK today. Written by a team of leading academics, the book reports on the extent and nature of poverty for different social groups: older and younger people; parents and children; ethnic groups; men and women; disabled people; and across regions through the recent period of austerity. It reflects on where government policies have made an impact and considers potential future developments. A companion volume Poverty and Social Exclusion in the UK Volume 2 focuses on different aspects of poverty and social exclusion identified in the study.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.041

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 head0.088
GPT teacher head0.421
Teacher spread0.333 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

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