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Fond



Description
Fond, a literary journal founded January 2020, publishes writing in world Englishes and in translation — and artwork in other disciplines — whose principal interest, interpreted expansively, is food and its import.

Universal reference point for all things, food comprises excess and scarcity alike, sustains, kills. It motivates civilization; it builds industry; it decimates; it is decimation. The difference between extant and extinct. As much an act of communion as it is a political bludgeon. To that end, Fond provides critical space for its contributors to experiment in form and structure, breach subjects dread and rare, and govern part of a conversation bridging culture, period, and place.


DO NOT SUBMIT! This market is temporarily closed.


Market Submission Schedule
  • Opens for submissions on Apr 1, 2020 (Begins 33 days from now)

Market Genres, Styles & Subjects
Genres
General
Literary

Market Types, Lengths & Pay Scale
Flash
0 to 1000 words
Less than 1 cent/word

Short Story
1000 to 7500 words
Less than 1 cent/word

Novelette
7500 to 17500 words
Less than 1 cent/word

Novella
17500 to 40000 words
Less than 1 cent/word


Market Submission Types
Electronic Submissions?: Yes
Postal Submissions?: No
Reprints?: No
Multiple Submissions?: No
Simultaneous Submissions?: No

Market Response Data
View recent responses from this market
This statistical information is an aggregation of submission data provided by our members. The more data we have the more accurate our
numbers will be so please be sure to log all of your submissions here and not just your rejections or acceptances.


Accuracy:
There are 0 completed reports in the past 12 months.
Averages and Boundaries:
0 min | 0.00 mean avg | 0 median | 0 max days
Responded:
-
Accepted:
-
Rejected:
- (0.00% of rejections are personal)
Rewrites:
-
Dead Letters:
-
Lost/Returned:
-
Never Responded:
-
Withdrawn:
-
Pending:
1 pending responses (27 min | 27 mean avg | 27 median | 27 max days waiting)
Note: pending statistics may skew high if some users neglect their data.
We recommend querying after the time the market suggests to query.


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