MétaCan
Menu
Back to cohort
Record W4249195351 · doi:10.32920/ryerson.14648703.v1

The visual politics of success and solidarity a case study of Chris Niedenthal's photography from The People's Republic of Poland 1978-1982

2021· preprint· en· W4249195351 on OpenAlexaff
Katarzyna Laszcuk

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSolidarityPhotographyPoliticsNegotiationMartial lawWork (physics)SociologyPolitical scienceLawVisual artsMedia studiesArtEngineering

Abstract

fetched live from OpenAlex

This thesis focuses on photographs from the Black Star Collection by photojournalist Chris Niedenthal, who did freelance assignments in Poland for Newsweek, Time Magazine, and Der Spiegel during the 1970s and 1980s. By looking closely at Niedenthal’s work, this thesis explores how these photographs respond to and engage with the rising tension in the People’s Republic of Poland (PRL) between the years 1978 -1982. The purpose of this investigation is to study the techniques Niedenthal devised to photograph Poland during a volatile time. Through a comparative analysis of selected images from the Black Star Collection, this thesis considers two phases of Niedenthal’s work in Poland, and examines both the way Chris Niedenthal’s photography attempts to negotiate the restrictions imposed by a totalitarian political system that sought to control its self-image, and how his approach to photography adapted to the rise of the Solidarity Trade Union and imposition of Martial Law in Poland.

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)0.001
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.008
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.316
Teacher spread0.295 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicItalian Fascism and Post-war SocietyFrench-language works237,207