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Record W4297815054 · doi:10.46692/9781529205831.009

Afterword: From Austerity to COVID-19 and Beyond

2022· other· en· W4297815054 on OpenAlexaff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsYork UniversityUniversité de Montréal
Fundersnot available
KeywordsAusterityCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyPolitical scienceMedicineLawOutbreakInternal medicine

Abstract

fetched live from OpenAlex

Our research concluded some time before the outbreak of COVID-19, but we suggest that many of the insights drawn from it, about austerity and collaboration, will be useful in considering ways forward from the pandemic. In the first instance, it seems clear that austerity made COVID-19 an even more iniquitous disease than it would in any case have been, with cities and urban peripheries the heart of both contagion and suffering (Biglieri, De Vidovich and Keil, 2020). The disease has unsurprisingly had a multitude of impacts on our cities, often linked to austerity. We therefore conclude further with an Afterword from the eight, including reflections on developments since the end of the research, impacts of COVID-19 and possible signs that it might be possible to ‘build back better’. Athens The socio-political traits of Athens are changing quickly, influenced by developments in the national economy, as well as by distinct local responses to the aftermath of the sovereign debt crisis. At the national level and after years of austerity, the long-sought balanced budget was eventually attained by the Greek state in 2017. As a result, Greece exited the bailout programme in August 2018, and has hesitantly attempted to borrow in the international bond markets. Post-bailout Greece has gained back a degree of political and financial independence, avoiding the direct in situ inspection and authorization of its policies by creditors. More permanent forms of monitoring, however, as well as austerity, are still very much in the picture. Beyond periodic Eurozone assessment of Greece's public finances, the country is still under ‘enhanced surveillance’ status (EU, 2017). This form of monitoring will continue for the foreseeable future, or, as stated in the respective documents ‘for as long as a minimum of 75% of the financial assistance received from one or several other Member states … has not be repaid’ (EU, 2013). More so, since austerity failed, completely and expectedly, to address the debt strand of public finances, which skyrocketed from 126 per cent in 2010 to 176 per cent in 2017 (Eurostat, 2019). In this light, creditors responded by broadening the austerity canvas.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.979

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0220.000

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 head0.018
GPT teacher head0.289
Teacher spread0.270 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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