MétaCan
Menu
Back to cohort
Record W7140007597

Pandemia da COVID 19 e mercato del lavoro: dalla crisi alla resilienza nel caso della citta di Bari.

2024· book-chapter· it· W7140007597 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) · 2024
Typebook-chapter
Languageit
FieldSocial Sciences
TopicItalian Social Issues and Migration
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Quarter (Canadian coin)Economic analysis
DOInot available

Abstract

fetched live from OpenAlex

La pandemia di COVID-19 ha avuto un impatto economico drammatico, accentuando le disuguaglianze preesistenti nel mercato del lavoro, a svantaggio di donne, giovani e minoranze etniche. Questo capitolo analizza come la crisi abbia colpito i redditi e le opportunità lavorative in Italia, con particolare attenzione alla Puglia e alla città di Bari. Viene esplorato il ruolo delle misure di sostegno governative nel mitigare tali impatti e si esaminano le disuguaglianze di reddito a livello comunale e sub-comunale, focalizzandosi sulle diverse reazioni dei redditi a seconda delle loro fonti durante e dopo la pandemia.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.003
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.005

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 head0.106
GPT teacher head0.346
Teacher spread0.241 · 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